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[A gender-based way of the location paths of non-public practice healthcare professionals along with their breastfeeding practices].

In recent decades, remote sensing techniques employing polarization measurements have successfully detected aerosol characteristics. This study used the numerically exact T-matrix method to precisely simulate the depolarization ratio (DR) of dust and smoke aerosols at common laser wavelengths. This improved our understanding of aerosol polarization characteristics as measured by lidar. The DRs of dust and smoke aerosols exhibit disparate spectral dependences, as the results clearly show. Moreover, a linear relationship exists between the DR ratio at two wavelengths and the microphysical properties of aerosols, including aspect ratio, effective radius, and complex refractive index. To improve lidar's detection, the absorption characteristics of particles are inverted at short wavelengths. Across diverse channels in the simulation, a noteworthy logarithmic association exists between the color ratio (CR) and lidar ratio (LR) at wavelengths of 532nm and 1064nm, enabling the differentiation of aerosol types. Based on this, a fresh inversion algorithm, known as 1+1+2, was proposed. The backscattering coefficient, extinction coefficient, and DR values, determined by this algorithm at 532nm and 1064nm, allow for a wider range of inversion and a comparison of lidar data from diverse configurations, subsequently yielding more comprehensive details regarding aerosol optical properties. Surgical intensive care medicine Laser remote sensing for aerosol observation achieves greater accuracy through our improved methodologies.

CPM lasers fabricated from 15-meter AlGaInAs/InP multiple quantum well (MQW) structures with asymmetric cladding layer and coating, employing colliding-pulse mode-locking (CPM) configuration, have been shown to generate high-power, ultra-short pulses at 100 GHz repetition rate. Epitaxial design of the laser, featuring four MQW pairs and an asymmetrical dilute waveguide cladding, minimizes internal loss while maintaining excellent thermal conductivity and increasing the gain region's saturation energy. A departure from the symmetric reflectivity of conventional CPM lasers, an asymmetric coating is incorporated to boost output power and reduce pulse duration. Optical pulses, sub-picosecond in duration and boasting 100 GHz repetition rates, along with peak power measured in watts, are demonstrated using a high-reflectivity (HR) coating of 95% on one facet, and a cleaved counterpart on the other. Two mode-locking states, the pure CPM and partial CPM states, are the focus of this research. selleck chemical For both states, the outcome is optical pulses completely free from pedestals. Measurements of a pure CPM state indicated a pulse width of 564 femtoseconds, an average power of 59 milliwatts, a peak power of 102 watts, and an intermediate mode suppression ratio that surpassed 40 decibels. A pulse width of 298 femtoseconds is observed for the partial CPM state.

Silicon nitride (SiN) integrated optical waveguides' applications are diverse, stemming from their attributes of low loss, a broad wavelength transmission spectrum, and considerable nonlinearity. Unfortunately, the substantial discrepancy in mode configuration between the single-mode fiber and the silicon nitride waveguide results in a significant difficulty in fiber coupling to these waveguides. Employing a high-index doped silica glass (HDSG) waveguide as an intermediary, we propose a coupling method for fiber and SiN waveguides, facilitating a seamless mode transition. We demonstrated fiber-to-SiN waveguide coupling with efficiencies below 0.8 dB/facet across the C and L bands, even with relaxed fabrication and alignment requirements.

Rrs(λ, z), a measure of the spectral radiance reflected by the water column at a given wavelength λ and depth z, is essential for determining oceanographic parameters like chlorophyll-a concentration, diffuse light attenuation, and intrinsic optical properties, forming the basis for satellite ocean color products. The spectral upwelling radiance of water, when normalized to the downwelling irradiance, allows for water reflectance measurements, whether from inside or outside the water. Existing models for estimating the ratio of above-water to underwater remote sensing reflectance (Rrs to rrs) often omit detailed consideration of the spectral dependency of water's refractive index and the effects of viewing angles off the nadir. A novel transfer model, developed in this study through radiative transfer simulations and measured inherent optical properties of natural waters, facilitates the spectral determination of Rrs from rrs across a range of sun-viewing geometries and environmental conditions. The research indicates that omitting spectral dependence in previous models produces a 24% bias at wavelengths of 400nm, a bias that can be overcome. If one utilizes nadir-viewing models, a 40-degree nadir viewing geometry is usually associated with a 5% discrepancy in Rrs estimation. Rrs differences become pronounced when the solar zenith angle exceeds 60 degrees, leading to consequences for subsequent calculations of ocean color products. The quasi-analytical algorithm (QAA) indicates that phytoplankton absorption at 440nm is affected by greater than 8% and backward particle scattering at 440nm experiences more than a 4% difference. These findings highlight the rrs-to-Rrs model's capacity to be applied effectively under a range of measurement conditions, leading to more accurate estimations of Rrs than previous models.

A high-speed technique, spectrally encoded confocal microscopy (SECM), uses reflectance confocal microscopy. This study proposes a method that integrates optical coherence tomography (OCT) with scanning electrochemical microscopy (SECM), which enhances imaging capability by adding orthogonal scanning to the SECM arrangement. Shared system components, arranged in the same order, facilitate the automatic co-registration of SECM and OCT, eliminating the need for separate optical alignment. While compact and cost-effective, the proposed multimode imaging system effectively provides imaging, aiming, and guidance. In addition, speckle noise is suppressed through the process of averaging the speckles formed by shifting the spectrally-encoded field in the dispersion direction. With a near-infrared (NIR) card and biological sample, the proposed system's capacity for SECM imaging at desired depths, guided by real-time OCT, and speckle noise reduction was demonstrated. The implementation of SECM and OCT interfaced multimodal imaging, leveraging fast-switching technology and GPU processing, resulted in a speed of approximately 7 frames per second.

Metalenses employ localized phase manipulation of the incident light beam to achieve diffraction-limited focusing. Current metalenses are constrained by the difficulties in achieving simultaneously a large diameter, a large numerical aperture, a broad range of operational wavelengths, and the structural requirements for fabrication. We detail a metalens, featuring concentric nanorings, that leverages topology optimization to address these restrictions. Our optimization method boasts a substantially decreased computational cost in relation to existing inverse design approaches, notably when applied to large-scale metalenses. The design flexibility of the metalens allows its function across the entire visible spectrum, using millimeter dimensions and a 0.8 numerical aperture, dispensing with high-aspect-ratio structures and large-refractive-index materials. Flow Antibodies Electron-beam resist PMMA, possessing a low refractive index, serves as the metalens material, streamlining the fabrication process considerably. The fabricated metalens' imaging performance, as demonstrated by experimentation, exhibits a resolution surpassing 600nm, as evidenced by the 745nm FWHM measurement.

A heterogeneous, nineteen-core, four-mode fiber is presented. The arrangement of the heterogeneous core, aided by the trench structure, effectively mitigates inter-core crosstalk. A core with a designated low-refractive-index section is developed to manage the number of propagating modes. By altering the refractive index distribution within the core, particularly the parameters of the low-index region, the number of LP modes and the effective refractive index difference between adjacent modes can be precisely controlled. Low intra-core crosstalk is successfully established within the graded index core's structure. With fiber parameters optimized, each core demonstrates stable transmission of four LP modes, maintaining inter-core crosstalk for the LP02 mode below -60dB/km. To summarize, the effective mode area (Aeff) and dispersion (D) of the nineteen-core, four-mode fiber are illustrated for the C+L band. The nineteen-core four-mode fiber's suitability for terrestrial and submarine communication systems, data centers, optical sensors, and other applications is demonstrated by the results.

A coherent beam, illuminating a stationary scattering medium populated by numerous scatterers fixed in position, produces a stable speckle pattern. So far, a reliable technique for calculating the speckle pattern within a macro medium exhibiting a high density of scatterers has not been established, as far as we are aware. A method grounded in possible path sampling, incorporating coherent superposition and associated weights, is presented for simulating optical field propagation in a scattering medium and thereby producing the output speckle patterns. In this procedure, a photon is directed towards a medium featuring stationary scattering particles. In a single direction, it propagates; an encounter with a scatterer compels a modification of its path. The procedure continues in a loop until it is out of the medium. By this method, a sampled path is acquired. By consecutively launching photons, an array of independent optical paths can be evaluated. The coherent superposition of adequately sampled path lengths, culminating on a receiving screen, generates a speckle pattern reflecting the probability density of the photon. In complex studies of speckle distributions, this method permits investigation of the influence of medium parameters, scatterer motion, sample distortions, and morphological aspects.

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7q31.2q31.31 erasure downstream associated with FOXP2 segregating in the family along with talk as well as words condition.

Ninety-two percent were actively employed, the demographic peak occurring between the ages of 55 and 64. A significant proportion (61%) of the group had experienced diabetes for less than eight years. The average duration of diabetes mellitus is estimated to be 832,727 years. A typical ulcer, when initially presented, had a duration of 72,013,813 days. Among the patient cohort (80.3%), a notable number presented with severe (grades 3 to 5) ulcerations, with Wagner grade four exhibiting the highest frequency. Concerning the clinical outcome, 24 patients (representing 247 percent) had amputations, with 3 of them being minor in nature. Fluorescent bioassay The odds ratio for amputation in the presence of concomitant heart failure is 600 (95% CI 0.589-6107, 0.498-4856). Death was recorded in the year 16 with a percentage of 184%. Factors predicting mortality included severe anemia (95% confidence interval: 0.65-6.113), severe renal impairment requiring dialysis (95% CI: 0.232-0.665), concomitant stroke (95% CI: 0.071-0.996), and peripheral arterial disease (95% CI: 2.27-14.7), with statistical significance indicated by a p-value of 0.0006.
This report details the late presentation of DFU cases, which comprised a significant portion of hospital admissions. While the case fatality rate has improved since previous reports, unacceptably high mortality and amputation rates persist. Amputation was influenced by the concurrent presence of heart failure. A correlation existed between mortality and the presence of severe anemia, renal impairment, and peripheral arterial disease.
The defining feature of DFU cases in this report is late presentation, contributing substantially to total medical admissions. Despite a decline in case fatality rates from previous reports of this center, mortality and amputation rates remain alarmingly high. this website The amputation was, in part, brought on by the concomitant condition of heart failure. Severe anemia, renal impairment, and peripheral arterial disease exhibited a demonstrable connection to mortality.

Diabetes occurs more frequently and at younger ages among Indigenous populations worldwide than in the general population, along with higher documented rates of emotional distress and mental illness. A critical appraisal of the evidence will be conducted in this systematic review to determine the social and emotional well-being of Indigenous peoples with diabetes. Analysis includes prevalence, impact, moderators, and the evaluation of the effectiveness of interventions.
We will examine MEDLINE Complete, EMBASE, APA PsycINFO, and CINAHL Complete from their initial entries until late April 2021. The search strategies will incorporate keywords pertaining to Indigenous peoples, diabetes, and social and emotional well-being as essential factors. Each abstract will be evaluated independently by two researchers, according to the stated inclusion criteria. Indigenous people with diabetes whose studies are eligible will provide data on their social and emotional well-being, and/or details on the effectiveness of interventions aimed at enhancing their social and emotional well-being. For each eligible study, a quality assessment will be performed using standardized checklists, determining internal validity based on the study's methodology. Discussions and consultations with other investigators are the means to resolving any discrepancies. Our expectation is the presentation of a narrative synthesis of the evidence.
The systematic review's results will enhance knowledge of how diabetes interacts with emotional well-being in Indigenous populations, translating into improved research methodologies, better policy implementations, and more effective healthcare practices. A website summary, crafted in plain language, will facilitate access to the research findings for Indigenous peoples affected by diabetes on our research center's website.
In the records of PROSPERO, the registration number is unequivocally CRD42021246560.
CRD42021246560 serves as PROSPERO's unique registration identification number.

The renin-angiotensin-aldosterone system's crucial role in diabetic nephropathy (DN) development is well-established, with angiotensin-converting enzyme (ACE) acting as a key catalyst in the conversion of angiotensin I to angiotensin II. However, the variability and specific contributions of serum ACE levels in DN patients remain undetermined.
This case-control study at Xiangya Hospital of Central South University involved the recruitment of 44 subjects with type 2 diabetes mellitus (T2DM), 75 subjects with diabetic nephropathy (DN), and 36 age- and gender-matched healthy volunteers. The commercial assay kit was used to test serum ACE levels and accompanying indexes.
DN exhibited significantly elevated ACE levels compared to both T2DM and control groups (F = 966).
This JSON schema returns a list of sentences. The correlation of serum ACE levels with UmALB was notable, and the correlation coefficient calculated was 0.3650.
At less than 0001, BUN (r = 03102) presented itself.
A correlation analysis showed a relationship between HbA1c and a value of 0.02046 (r = 0.02046).
ACR (r = 0.04187) displays a correlation with the variable 00221.
Observed in the statistical analysis, the variable ALB shows a negative correlation (r = -0.01885) with the value below 0.0001.
A strong correlation was established between variable X and Y (r = 0.0648, P < 0.0001), and conversely, a substantial inverse correlation was found between variable Y and eGFR (r = -0.3955, P < 0.0001). This relationship is captured in the equation Y = 2839 + 0.648X.
+ 2001X
+ 0003X
– 6637X
+0416X
– 0134X
(Y ACE; X
BUN; X
HbA1C; X
UmALB; X
gender; X
ALB; X
eGFR, R
Given the preceding stipulations, the resulting outcome is undeniably manifest. In a study of diabetic nephropathy (DN) patients, those categorized into early and advanced stages, alongside their diabetic retinopathy (DR) status, demonstrated a rise in angiotensin-converting enzyme (ACE) levels when early-stage DN transitioned to advanced stages, or if coupled with DR.
Diabetic nephropathy patients with elevated serum ACE levels could experience either progression of their nephropathy or retinal damage.
A rise in serum ACE levels could potentially indicate the advancement of diabetic nephropathy or compromised vision in individuals affected by diabetic retinopathy.

The rigorous demands of type 1 diabetes management are largely carried by individuals living with the condition, their families, and their support groups. Diabetes self-management education and support initiatives are formulated with the goal of improving knowledge, skills, and confidence to enable appropriate diabetes management choices. Observations indicate that efficient diabetes self-management is contingent upon interventions focused on the individual and a team of multidisciplinary educators who are experts in diabetes care and education. The COVID-19 pandemic's outbreak has intensified the existing diabetes problem, making remote diabetes self-management education a critical need. The validated FIT diabetes management program, when adapted to a remote format, has associated quality issues and expectations, a perspective presented in this article.

Diabetes mellitus (DM) is a leading global cause of both morbidity and mortality, impacting many lives. immunofluorescence antibody test (IFAT) Digital health technologies (DHTs), including mobile health apps (mHealth), have seen a rapid rise in use for self-managing chronic diseases, particularly in the wake of the COVID-19 pandemic. Even though a considerable range of diabetes-specific mobile health apps is available, their clinical effectiveness remains inadequately supported by evidence.
A detailed review, adhering to a systematic approach, was undertaken. To identify randomized controlled trials (RCTs) of mHealth interventions in DM published between June 2010 and June 2020, a systematic search was performed within a significant electronic database. The categorization of the studies relied on the type of diabetes mellitus, and the impact of diabetes-specific mobile health applications on glycated hemoglobin (HbA1c) management was evaluated.
Incorporating 25 studies, a total of 3360 patients were scrutinized. A mixed methodological quality was evident across the included trials. Individuals diagnosed with T1DM, T2DM, or prediabetes who were treated with a DHT regimen experienced a noticeably greater reduction in HbA1c levels compared to those receiving usual care. The analysis, in comparison to usual care, highlighted an improvement in HbA1c levels, showing an average difference of -0.56% in T1DM cases, -0.90% in T2DM cases, and -0.26% in prediabetes cases.
Diabetes-management-focused mobile health apps could potentially lower HbA1c levels among patients with type 1 diabetes, type 2 diabetes, and those who are prediabetic. The review identifies a need for more thorough research on the wider clinical utility of mHealth strategies designed for diabetes, focusing on type 1 diabetes and prediabetes. Measures should encompass more than just HbA1c, considering outcomes like short-term glucose fluctuations or instances of low blood sugar.
Mobile health apps specializing in diabetes care might prove effective in decreasing HbA1c levels within populations affected by type 1 diabetes, type 2 diabetes, and prediabetes. The review signifies the necessity for further exploration into the extensive clinical impact of diabetes-centric mHealth solutions, especially concerning type 1 diabetes and prediabetes. These measures should encompass more than just HbA1c, and should also account for outcomes such as short-term glycemic fluctuations or episodes of hypoglycemia.

Serum sialic acid (SSA) and metabolic risk factors in Ghanaian Type 2 diabetes (T2DM) patients with and without microvascular complications were the subject of analysis in this study. At Tema General Hospital's diabetic clinic in Ghana, 150 T2DM outpatients were enrolled in a cross-sectional study. Analysis of fasting blood samples revealed Total Cholesterol (TC), Triglyceride (TG), Low Density Lipoprotein Cholesterol (LDL-C), High Density Lipoprotein Cholesterol (HDL-C), Fasting Plasma Glucose (FPG), Glycated Haemoglobin (HbA1c), SSA, and C-Reactive Protein levels.

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People-centered first warning methods within The far east: Any bibliometric examination of plan papers.

Substantial agreement exists between linear theoretical predictions and the emergence of wave-number band gaps for small-amplitude excitations. Theoretical and experimental analyses of parametric amplification in wave-number band gaps using Floquet theory reveal the underlying instabilities. In systems that are not purely linear, the large-magnitude responses are stabilized by the non-linear nature of the magnetic interactions within the system, leading to a range of nonlinear, time-periodic states. The intricate bifurcation structure within the periodic states is investigated. The linear theory accurately predicts the parameter values that trigger the emergence of time-periodic states from the zero state. Parametric amplification, fostered by a wave-number band gap in the presence of an external drive, results in temporally quasiperiodic, bounded, and stable responses. Controlling the propagation of acoustic and elastic waves using a judicious balance of nonlinearity and external modulation presents a revolutionary approach to advanced signal processing and telecommunication devices. The system's capability extends to time-varying cross-frequency operation, mode and frequency conversion, and signal-to-noise ratio improvements.

Ferrofluid magnetization, initially saturated by a potent magnetic field, gradually reduces to zero upon the removal of the field. The constituent magnetic nanoparticles' rotations dictate the dynamics of this process; the Brownian mechanism's rotation times, in turn, are critically influenced by the particle size and the magnetic dipole-dipole interactions between the particles. This study investigates the influence of polydispersity and interactions on magnetic relaxation, employing a combined approach of analytical theory and Brownian dynamics simulations. Fundamental to this theory is the application of the Fokker-Planck-Brown equation for Brownian rotation, combined with a self-consistent, mean-field approach for modeling dipole-dipole interactions. An intriguing prediction of the theory is that the relaxation time of each particle type mirrors its intrinsic Brownian rotation time at short intervals. However, the theory further suggests that all particle types will share a common, slower effective relaxation time over longer periods, exceeding all individual Brownian rotation times. Noninteracting particles, notwithstanding, consistently experience relaxation, a rate determined solely by Brownian rotational time. Real ferrofluids, seldom monodisperse, reveal in magnetic relaxometry experiments the necessity to account for polydispersity and interaction influences when analyzing the data.

Dynamical phenomena within complex systems find explanation in the localization patterns of Laplacian eigenvectors within their network structures. Through numerical methods, we explore the influence of higher-order and pairwise links on the eigenvector localization of hypergraph Laplacians. We observe that, in specific situations, pairwise interactions result in the localization of eigenvectors with small eigenvalues, whereas higher-order interactions, even though considerably weaker than pairwise interactions, continue to drive the localization of eigenvectors with larger eigenvalues in all the cases studied. selleck products For a more thorough understanding of dynamical phenomena such as diffusion and random walks within complex real-world systems with higher-order interactions, these findings are advantageous.

Strongly coupled plasmas' thermodynamic and optical properties are profoundly reliant on the average degree of ionization and the ionic state composition, which, unfortunately, remain elusive when using the standard Saha equation, typically for ideal plasmas. Consequently, a satisfactory theoretical comprehension of the ionization equilibrium and charge state distribution in highly interacting plasmas remains a significant hurdle, stemming from the intricate interplay between electrons and ions, and the complex interactions among the electrons themselves. Using a locally derived, temperature-sensitive ion-sphere model, the Saha approach is enhanced to describe strongly coupled plasmas, accounting for electron-ion, free-free electron, nonuniform free electron distribution, and electron quantum partial degeneracy effects. Within the theoretical framework, all quantities, including bound orbitals with ionization potential depression, free-electron distribution, and bound and free-electron partition function contributions, are calculated self-consistently. The nonideal characteristics of free electrons, as discussed above, noticeably alter the ionization equilibrium, as confirmed by this study. The recent experimental measurement of dense hydrocarbon opacity serves to validate our theoretical structure.

We explore how the disparity in spin numbers within two-branched classical and quantum spin systems, subject to differing heat bath temperatures, influences the magnification of heat current (CM). IP immunoprecipitation We examine the classical Ising-like spin models, utilizing both Q2R and Creutz cellular automaton dynamics. Our analysis reveals that the difference in the number of spins does not alone dictate heat conversion mechanisms; the introduction of another asymmetry, such as differing strengths of spin-spin interactions in the upper and lower branches, is fundamental. We not only present a suitable physical motivation for CM but also methods to control and manipulate it effectively. Subsequently, this study is expanded to examine a quantum system exhibiting a modified Heisenberg XXZ interaction, while the magnetization remains unchanged. Curiously, merely the asymmetry in the number of spins present in the branches is adequate for inducing heat CM in this situation. The commencement of CM coincides with a decrease in the overall heat current traversing the system. Following this, we investigate the observed CM characteristics in terms of the interplay between non-degenerate energy levels, population inversion, and unconventional magnetization trends, subject to variations in the asymmetry parameter within the Heisenberg XXZ Hamiltonian. Finally, we employ ergotropy as a framework to validate our results.

Numerical simulations reveal the analysis of slowing down in a stochastic ring-exchange model on a square lattice. Surprisingly long periods of time demonstrate the preservation of the coarse-grained memory of the initial density-wave state. The behavior displayed is not in agreement with the outcomes anticipated by a low-frequency continuum theory, which was constructed using a mean-field solution. Through a comprehensive investigation of correlation functions from dynamically active zones, we demonstrate an unusual transient, long-range structural evolution in a direction initially empty of features, and argue that its slow decay is essential for the slowing-down mechanism. Our findings are anticipated to hold significance for the dynamics of quantum ring-exchange within hard-core bosons, and, more broadly, for models preserving dipole moments.

Researchers have extensively studied how quasistatic loading causes soft layered systems to buckle, thereby creating surface patterns. The dynamic formation of wrinkles, contingent on impact velocity, is analyzed in this study of stiff films resting on viscoelastic substrates. Salivary microbiome Across space and time, a range of wavelengths is observed, affected by the velocity of the impacting object, and surpassing the range seen under quasi-static loading. Simulations pinpoint the importance of inertial and viscoelastic factors. Film damage is scrutinized, and its effect on dynamic buckling behavior is observed. We expect our research to lead to tangible applications in the fields of soft elastoelectronic and optical systems, as well as the development of novel pathways in nanofabrication procedures.

A compressed sensing scheme enables the acquisition, transmission, and storage of sparse signals using far fewer measurements compared to conventional techniques based on the Nyquist sampling theorem. The popularity of compressed sensing in applied physics and engineering, particularly in signal and image acquisition strategies such as magnetic resonance imaging, quantum state tomography, scanning tunneling microscopy, and analog-to-digital conversion technologies, has been significantly propelled by the sparsity of many naturally occurring signals in specific domains. In tandem with the broadening application of causal inference, understanding and interpreting the interactions and relationships between processes has become a critical aspect in numerous scientific disciplines, particularly those dealing with complex systems. A direct, causal analysis of compressively sensed data is crucial to circumvent the need for reconstructing the compressed data itself. Available data-driven or model-free causality estimation techniques may not readily facilitate the direct detection of causal relationships for sparse signals, notably those embedded in sparse temporal data. Employing mathematical rigor, we establish that structured compressed sensing matrices, including circulant and Toeplitz types, maintain causal relationships in the compressed signal space, as determined by Granger causality (GC). To confirm this theorem, we employ a series of bivariate and multivariate coupled sparse signal simulations that are compressed by these matrices. Real-world application of network causal connectivity estimation, from sparse neural spike train recordings of the rat prefrontal cortex, is further demonstrated by us. We demonstrate the effectiveness of structured matrices for estimating GC values from sparse signals, alongside showing a reduction in computational time for causal inference using compressed autoregressive signals, both sparse and regular, compared to the standard method using uncompressed signals.

Density functional theory (DFT) calculations, alongside x-ray diffraction techniques, provided insights into the tilt angle's value for ferroelectric smectic C* and antiferroelectric smectic C A* phases. The investigation focused on five homologues in the chiral series designated 3FmHPhF6 (m=24, 56, 7), built upon the core structure of 4-(1-methylheptyloxycarbonyl)phenyl 4'-octyloxybiphenyl-4-carboxylate (MHPOBC).