Miracle-dz/UniFAR-FTUs huggingface dataset:
Alat Bantu Koordinasi Jarak Dan Posisi Disabilitas Netra Berbasis Radio Frekuensi Menggunakan Haversine-Bearing

ABSTRAKAplikasi talkback pada gawai android mengharuskan tersedia pulsa atau data internet serta penggunaan tongkat konvensional tidak dapat berkomunkasi antar sesama pengguna disabilitas netra. Penelitian ini membuat alat bantu komunikasi antar disabilitas dengan luaran informasi jarak dan posisi sudut. Setiap alat bantu menghasilkan koordinat titik latitude longitude dari Global Positioning System (GPS). Data koordinat titik antar alat bantu saling dikirim menggunakan radio frekuensi Long Range (LoRa). Kedua koordinat titik diolah menggunakan algoritma Haversine untuk menghasilkan jarak. Sedangkan algoritma Bearing digunakan untuk menghasilkan posisi sudut dengan referensi utara dari sensor kompas. Rata-rata kesalahan jarak tanpa halangan 2,41 m, dengan halangan 4,78 m, pada Received Signal Strength Indicator (RSSI) -107,55 dBm. Kesalahan sudut tanpa halangan 14,52⁰ , dengan halangan 24,51⁰ pada RSSI -102,1 dBm. ABSTRACTThe talkback application on android devices requires that credit or internet data be available and the use of conventional sticks cannot communicate between users with visual impairments. This study makes communication aids between disabilities with the output of distance and angle position information. Each tool generates latitude longitude coordinates from the Global Positioning System (GPS). The coordinates of the points between the tools are sent to each other using Long Range (LoRa) radio frequencies. Both point coordinates are processed using the Haversine algorithm to produce distances. While the Bearing algorithm is used to generate an angular position with a north reference from the compass sensor. The average distance error without an obstacle 2.41 m, with obstacle is 4.78 m on the Received Signal Strength Indicator (RSSI) -107.55 dBm. Angle error without an obstacle 14. 52⁰ , with obstacle is 24. 51⁰, on RSSI -102.1 dBm.
The Effect of Probiotic Supplementation on Glucolipid Metabolism in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis

Purpose: Type 2 diabetes mellitus (T2DM) is a persistent metabolic condition with an unknown pathophysiology. Moreover, T2DM remains a serious health risk despite advances in medication and preventive care. Randomised controlled trials (RCTs) have provided evidence that probiotics may have positive effects on glucolipid metabolism. Therefore, we performed a meta-analysis of RCTs to measure the effect of probiotic therapy on glucolipid metabolism in patients with T2DM. Methods: With no constraints on the language used in the literature, Excerpta Medica Database, PubMed, the Cochrane Library, and the Web of Science were searched for pertinent RCTs published between the date of creation and 18 August 2022. Stringent inclusion and exclusion criteria were applied by two reviewers to independently examine the literature. The risk of bias associated with the inclusion of the original studies was assessed using the Cochrane risk-of-bias tool, and Stata 15.0 was used to perform the meta-analysis. Results: Thirty-seven publications containing a total of 2502 research participants were included in the meta-analysis. The results showed that after a probiotic intervention, the experimental group showed a significant decrease in body mass index (standardised mean difference (SMD) = −0.42, 95% confidence interval (CI) [−0.76, −0.08]), fasting glucose concentration (SMD = −0.73, 95% CI [−0.97, −0.48]), fasting insulin concentration (SMD = −0.67, 95% CI [−0.99, −0.36]), glycated haemoglobin concentration (SMD = −0.55, 95% CI [−0.75, −0.35]), Homeostatic Model Assessment for Insulin Resistance score (SMD = −0.88, 95% CI [−1.17, −0.59]), triglyceride concentration (SMD = −0.30, 95% CI [−0.43, −0.17]), total cholesterol concentration (SMD = −0.27, 95% CI [−0.43, −0.11]), and low-density lipoprotein concentration (SMD = −0.20, 95% CI [−0.37, −0.04]), and an increase in high-density lipoprotein concentration (SMD = 0.31, 95% CI [0.08, 0.54]). Moreover, subgroup analyses showed that patients with a longer intervention time, or those who were treated with multiple strains of probiotics, may benefit more than those with a shorter intervention time or those who were treated with a single probiotic strain, respectively. Conclusion: Probiotic supplementation improves glucolipid metabolism in patients with T2DM, offering an alternative approach for the treatment of these patients.
Background Subtraction and Object Tracking via Key Frame-Based Rotational Symmetry Dynamic Texture

Developing universal methods for background subtraction and object tracking is one of the critical and hardest challenges in many video processing and computer-vision applications. To achieve superior foreground detection quality across unconstrained scenarios, a novel Two Layer Rotational Symmetry Dynamic Texture (RSDT) model is proposed, which avoids illumination variations by using two layers of spatio temporal patches. Spatio temporal patches describe both motion and appearance parameters in a video sequence. The concept of key frame is used to avoid redundant samples. Auto Regressive Integrated Moving Average model (ARIMA) (Hyndman & Rob, 2015) estimates the statistical parameters from the subspace. Uniform Local Derivative Pattern (LDP) (Zhang et al., 2010) acts as a feature for tracking objects in a video. Extensive experimental evaluations on a wide range of benchmark datasets validate the efficiency of RSDT compared to Center Symmetric Spatio Temporal Local Ternary Pattern (CS-STLTP) (Lin et al., 2015) for unconstrained video analytics.
Non complete integrability of a satellite in circular orbit

We consider the problem of a rigid body (for example a satellite) moving in a circular orbit around a fixed gravitational center whose inertia tensor’s components A,B,C are positive real numbers satisfying 0 < A < B ≤ C = 1. We prove the non complete meromorphic integrability of the satellite using a criterion based on a theorem of J.-J. Morales and J.-P. Ramis. This criterion relies on some local and global properties of a linear differential system, called normal variational system and depending rationally on A and √ 3 (B −A). Our proof uses tools from computer algebra and proceeds in two steps: first the satellite with axial symmetry (i.e. 0 < A < B = C = 1) then the satellite without axial symmetry (i.e. 0 < A < B < C = 1). 1 – Introduction We consider the problem of a rigid body (the satellite) moving in a circular orbit around a fixed gravitational center ([15, 16, 17], [18]). This satellite is characterized by its inertia tensor which is related to the distribution of the mass throughout the body. Its components A,B and C are positive real numbers which can be assumed to satisfy the conditions 0 < A < B ≤ C = 1. We want to know whether there exists values of these parameters such that the satellite may be completely integrable (with meromorphic first integrals). That means that there exists a sufficient number of meromorphic first integrals which are functionally independent and in involution to describe the behavior of the satellite (see [1], [9] and [21] for precise definitions of these notions). Received : January 28, 2005; Revised : February 15, 2005.
Research report: Comparison of different time-frequency representations.

This report summarises the work done as part of my PhD studies. It compares several different time-frequency representations: short-time Fourier transform and spectrogram, continuous wavelet transform and scalogram, Wigner-Ville distribution and its modifications, Choi-Williams distribution, Reassigned spectrogram. Two test data sets were used: sum of sines and frequency-modulated signal. Above time-frequency representations were tested on test signals with different noise levels. Reassigned spectrogram was chosen as the most suitable for this research work method and afterwards applied to real EEG signals.
Modeling and simulation of a chemically stimulated hydrogel bilayer bending actuator

Stimuli-sensitive hydrogels are polymeric materials, which are able to reversibly swell in water in response to evironmental changes. Relevant stimuli include variations of pH, temperature, concentration of specific ions etc. Stacked layers composed of multiple thin hydrogels - also referred to as hydrogel-layer composites - combine the distinct sensing properties of different hydrogels. This approach enables the development of sophisticated microfluidic devices such as bisensitive valves or fluid-sensitive deflectors. In order to numerically simulate the swelling of a polyelectrolyte hydrogel in response to an ion concentration change the multifield theory is adopted. The set of partial differential equations - including the description of the chemical, the electrical and the mechanical field - are solved using the Finite Element Method. Simulations are carried out on a two-dimensional domain in order to capture interactions between the different fields. In the present work, the ion transport is governed by diffusive and migrative fluxes. The distribution of ions in the gel and the solution bath result in an osmotic pressure difference, which is responsible for the mechanical deformation of the hydrogel-layer composite. The realized numerical investigation gives an insight into the evolution of the displacement field, the distribution of ions and the electric potential within the bulk material and the interface between gel and solution bath. The predicted behavior of the relevant field variables is in excellent agreement with results available in the literature.
Review of Ultrasonic Particle Manipulation Techniques: Applications and Research Advances

Ultrasonic particle manipulation technique is a non-contact label-free method for manipulating micro- and nano-scale particles using ultrasound, which has obvious advantages over traditional optical, magnetic, and electrical micro-manipulation techniques; it has gained extensive attention in micro-nano manipulation in recent years. This paper introduces the basic principles and manipulation methods of ultrasonic particle manipulation techniques, provides a detailed overview of the current mainstream acoustic field generation methods, and also highlights, in particular, the applicable scenarios for different numbers and arrangements of ultrasonic transducer devices. Ultrasonic transducer arrays have been used extensively in various particle manipulation applications, and many sound field reconstruction algorithms based on ultrasonic transducer arrays have been proposed one after another. In this paper, unlike most other previous reviews on ultrasonic particle manipulation, we analyze and summarize the current reconstruction algorithms for generating sound fields based on ultrasonic transducer arrays and compare these algorithms. Finally, we explore the applications of ultrasonic particle manipulation technology in engineering and biological fields and summarize and forecast the research progress of ultrasonic particle manipulation technology. We believe that this review will provide superior guidance for ultrasonic particle manipulation methods based on the study of micro and nano operations.
Vehicle Damage Severity Estimation for Insurance Operations Using In-The-Wild Mobile Images

Following a car accident, an insurance company must assess the level of damage to each vehicle to decide on the compensation paid to the insurance customer. This assessment is usually performed by manual inspection, which is costly and time-consuming. Automatic car damage assessment using image data is an under-addressed problem highly relevant to the insurance industry. Although there have been many attempts at solving particular aspects of this problem, we are unaware of any complete solutions available. In this work, we propose a pipeline that uses photographs of a damaged car, collected by the users from multiple angles, together with structured data about the vehicle, to estimate damage severity following an accident. Our proposed pipeline consists of several computer-vision models for the detection of damage and the determination of its extent. Unlike existing approaches in car damage assessment, we use semantic segmentation to understand which parts of the car are damaged, and to what extent. We then extract computer-vision features, indicating the location and severity of damage to each exterior panel, together with structured data, to arrive at an accurate damage cost estimation. We train and evaluate this model on a large dataset of historical insurance claims with known outcomes, all captured in the wild with mobile-phone hardware.
Educational Environment in Operating Theatres of Bangladesh: Views of Surgical Trainees and Trainers

The quality of the educational environment in the operating theatre is one of the key determinants for the effective training of surgical trainees. This descriptive cross-sectional study was aimed to evaluate the views of postgraduate surgical trainees and their trainers to identify the strength and weaknesses of the educational environment of the operating theatres of Bangladesh. Data were collected by physical means from 349 surgical allied trainees of 14 different disciplines who are having a minimum of three months of working experience in operating theatre as postgraduate trainees. To evaluate the perception of trainees’ internationally validated questionnaire STEEM consisting 40 items was used. To highlight the perspective of Bangladesh, an additional self-made questionnaire consisting ten items was also used. Both questionnaires have five answering options (1-5) for each item as per Likert scale. A score of 60% was considered as satisfactory. To have more vivid ideas six sessions of focus group discussion with trainees and12 in-depth interviews of trainers with minimum five years of teaching experience in his/her specialty from most of the surgical disciplines were also carried out. In this study, the reliability score of STEEM and the self-made questionnaires were 0.757 and 0.730 respectively as determined by Cronbach’s alpha. In general, the perception of trainees regarding the educational environment in OT of Bangladesh was grossly satisfactory with a mean score of STEEM 134.32±14.05 (67%) and 36.80±5.25 (73%) for self-made questionnaire. But group D subscale of STEEM (workload, support and supervision) failed to reach satisfaction level with a mean score of 20.89±5.36 (52%) and the difference between the four subgroups of STEEM was statistically significant. The satisfaction level of juniors in group B subscale of STEEM (perception of learning opportunities) was significantly higher than seniors. The perception between trainees of different disciplines was also statistically significant. From focus group discussions of trainees and in-depth interviews of trainers, this study revealed that trainees’ felt deprived of ‘hands on’ training and perioperative briefing either due to the huge workload or long learning curves of the junior faculties. Quality of training is somehow neglected due to physical absence of faculty members after routine office hour and also because of deficient simulation or skill lab. Trainees also claimed that their financial hardship making them bound for extracurricular activities compromising their full-time residential training. The overall educational environment in operating theatres of Bangladesh as perceived by trainees and trainers is satisfactory. To ensure the full engagement of the trainees under the direct supervision of faculties curriculum should be upgraded with the provision of a modern skill lab, workload should be managed and their financial issues need to be addressed sympathetically by the appropriate authority. Bangladesh Journal of Medical Education Vol.14(2) July 2023: 33-44
Improving Operational Management Efficiency in the Food and Beverage Industry: A Systematic Literature Review

Improving operational management efficiency is not just an option but a necessity to maintain competitiveness in a rapidly changing market. By optimizing production processes, inventory management, customer service, and utilization of technology, companies can reduce operational costs, increase speed and accuracy in service, and improve the quality of products served to customers. This study seeks to explore several strategies and steps that can be taken by companies in the food and beverage industry to improve the efficiency of their operational management. The literature search process was carried out on various databases (PubMed, Web of Sciences, and Google Scholar) regarding the analysis of improving operational management efficiency in the food and beverage industry. This study follows the preferred reporting items for systematic reviews and meta-analysis (PRISMA) recommendations. Improving operational management efficiency in the food and beverage industry is a continuous process. By implementing process automation, intelligent data analysis, employee training, efficient inventory management, collaboration with suppliers, and a focus on quality and customer service, companies can achieve these goals. This effort will help the company to remain competitive and sustainable amid increasingly fierce and dynamic competition in the food and beverage industry.
Comparative study of MODIS, LANDSAT-8, SENTINEL-2B, and LISS-4 images for Precision farming using NDVI approach

This study aims to understand the potential use and application of satellite images in analyzing the vegetation of a given area. It utilizes images from 4 sensors/satellites, namely MODIS (Terra), LANDSAT 8, SENTINEL 2B, and LISS 4 (Resourcesat-2). The area chosen for analysis is ‘Bangalore North, a taluk in the Bangalore district of Karnataka, India, where about 23% of the total area is used for agriculture. The images obtained are analyzed for the extent of data that can be extracted, individual spatial variability, and their relative application in precision farming and vegetation analysis. The maps are generated using NDVI (Normalised difference in Vegetation Index) approach. They are then categorized into 14 classes, after which the maps are analyzed using a histogram and by extracting pixel count for each class and comparing the results among the sensors/satellites used. It was found that, of the four sensors/satellites, LISS-4 is best suitable for precision farming and vegetation analysis as the map obtained has a higher and clear resolution, along with better spatial variability. In the absence of LISS-4, Sentinel - 2B was a better choice, and MODIS was unsuitable for this purpose.
Thyroid Hormones and Cardiometabolic Risk Factors in Saudi Women with Polycystic Ovary Syndrome: A Cross-Sectional Study

Objective The PCOS-thyroid nexus has recently drawn the focus of various investigations due to the prevalence of thyroid problems in PCOS. Additionally, risk factors for cardiovascular disease (CVD) are more prevalent in PCOS women. Therefore, we aim to assess the levels of thyroid hormones in Saudi females with polycystic ovary syndrome (PCOS) and to examine the correlation between cardiometabolic risk factors (CMRFs) and thyroid hormones in PCOS patients. Methods A cross-sectional research with 200 PCOS-diagnosed female patients was conducted from April 2018 to April 2020. In addition to other anthropometric and serum biochemical markers, glycemic status, thyroid function test, lipid profiles, homocysteine, and C-reactive protein levels were detected in patients. Results In PCOS, hypothyroidism is more common than hyperthyroidism (55 vs 27.5%, p = 0.05). While women with raised TSH (hypothyroidism) had a higher BMI, WC, FBG, and poorer HDL-C (p< 0.05). Significant differences were found in LDL-C, TG, Homocysteine, and CRP levels (all p<0.001 and< 0.05). PCOS women with hypothyroidism at increased risk of CVD, as indicated by AIP (Atherogenic Index of plasma) (0.57±0.42) was found. The elevated TSH levels were favorably linked with TG, Homocysteine, CRP, BMI, AIP, and WC (all p< 0.001, 0.05) but negatively connected with HDL-C and FT4. Conclusion A strong relationship between PCOS and thyroid dysfunction was detected since PCOS hypothyroid groups had higher TSH levels and CMRFs. This group’s CVD risk was elevated due to CRP, homocysteine, triglycerides, and obesity.
Two Enhances the Cisplatin Sensitivity of Cervical Cancer Cells via Suppression of c-MET Expression

Background: The drug resistance of chemotherapeutic agents leads to unsatisfactory survival rates for cervical cancer (CC) patients. We aimed to explore the effect of FOXP2 on the sensitivity of CC cells to cisplatin (DDP) and its mechanism in Changde, China in 2018. Methods: A Total of 6 cervical cancer tissue samples including 3 patients with cisplatin sensitivity and 3 patients with cisplatin resistance, who received DDP-based treatment, were obtained from Changde First People's Hospital, Changde City during 2021, and FOXP2 level was detected by Western blot. The expression levels of FOXP2 and c-MET (hepatocyte growth factor receptor, c-MET) in cells were determined by q-PCR and Western blot analysis. The cell survival, apoptosis, and clone formation were analyzed by flow cytometry, MTT assay, or clone formation assay. Dual-luciferase reporter assays and Chromatin immunoprecipitation were applied to verify the regulation between FOXP2 and c-MET. Results: FOXP2 was downregulated in cisplatin-resistant cervical cancer tissues and cells compared with control. FOXP2 overexpression in SiHa/DDP cells inhibited cell proliferation and promoted cell apoptosis, whereas down-regulation of FOXP2 in SiHa cells had the opposite result. FOXP2 enhanced chemosensitive to DDP in CC cells. FOXP2 is negatively correlated with c-MET expression level in SiHa and SiHa/DDP cells. Mechanistically, FOXP2 binds to the promoter region of c-MET to regulate its expression in CC cells negatively. Overexpression of c-MET can attenuate the enhancement of DDP-induced apoptosis caused by FOXP2 overexpression. Conclusion: This is a novel study on the role of FOXP2 in promoting the DDP sensitivity of CC cells by inhibiting c-MET. The FOXP2/c-MET signaling axis uncovered in the present study may be a novel therapeutic target for the DDP therapy resistance of CC.
Radial modes in phase-only twisted light beams

Beams carrying orbital angular momentum (OAM) are ubiquitous in many experiments carried out today and cover a wide range of research, from surface microstructure processing to optical tweezers and communications. It follows that these beams are a significant factor in the outcome of these research areas. They are often generated through the use of phase-only modulation with elements such as SLMs and q-plates due to the simplicity of the approach. Interesting consequences result from this generation principal which include the introduction of radial modes as they propagate. We experimentally demonstrate how this effects the distribution of power where a notable decrease in the desired fundamental mode power occurs with higher OAM beams in addition to an expansion in the power across these radial modes. This research additionally affirms their mathematical description as the recently introduced Hypergeometric- Gaussian beams.