Miracle-dz/UniFAR-FTUs huggingface dataset:
Bruised but not Broken: Self-concept of Sexually Abused Female Children

Sexual abuse is a social issue in the Philippines that affects the self-concept of victims. With the increasing number of cases, there is a need to explore this phenomenon and determine how it harmed the victim's self-concept. This qualitative research studied the lives of 13 female children under a government-operated residential institution using the narratives approach. Three components of self-concept were analyzed: self-esteem, self-image, and ideal self. Following the abuse, the participants had feelings of worthlessness, self-pity, self-blame and isolation. They perceived themselves as hateful, fearful, and helpless but this did not stop them from having dreams and being self-satisfied. Hence, the study suggests that psychological tests on self-concept be administered to the victims to provide an appropriate intervention for this type of population. Findings have implications to educational institutions with students who suffered from sexual abuse.
Fundamental, Stock Market, and Macroeconomic Factors on Equity Premium – Evidence from Indonesia Stock Exchange

Purpose: The equity premium influences investors' investing decisions, as well as their savings, spending habits, and portfolio allocation between risk-free and risky assets. Researchers have used different economic variables as potential predictors of the equity premium. However, research on determinants of equity risk premiums in emerging markets is less studied. This study aims at investigating the influence of fundamental (debt/equity ratio, dividend pay-out ratio), stock market (beta, stocks price volatility, liquidity), and macroeconomics factors (inflation and exchange rate) on the equity premium in Indonesia. Methodology: Data was collected from a 213 sample of stocks listed in the Indonesia Stock Market for January 2007 to December 2014. Data panel regression was performed to evaluate the impact of fundamental and stock market factors, measured in 16 semesters. Time-series regression was conducted to assess the impact of macro-economic factors, measured monthly. Findings: We find that debt ratio, dividend ratio, beta, stock prices volatility, and exchange rate are positively related to the equity premium while inflation had a negative relationship. Stocks liquidity did not play a significant role in explaining the equity premium. Originality/Value: This study offers insights for investors to determine reasonable returns based on information about the significant determinants in the Indonesia Stock Market.
An Examination of the Effect of Sleep Quality and TV/Computer Usage on Stress: Based on National Health and Nutrition Examination Survey Data

: This study examines the effect of TV/computer usage and sleep quality on stress on a large population with comprehensive demographic characteristics. It also aimed to identify the difference of treatment effect between the female group and the male group. This study includes 5092 participants in the National Health Nutrition Examination Survey (NHANES). These participants were asked to answer questionnaires regarding TV/computer usage, sleep quality, and mental health. We applied a binary logistic regression and a Poisson regression. TV usage, computer usage, and sleep quality were positively associated with both the odds of experiencing stress-related symptom and the frequency of stress-related symptoms. No difference of treatment effect was found between the female group and the male group for sleep quality. The female group was found to be less affected by TV usage. Effect of computer usage was detected on the male group, but not on the female group. A reduction in TV/computer usage and an improvement of sleep quality can be performed to reduce the frequency and the odds of experiencing stress-related symptoms. Future study with comprehensive population groups and standardized measurement for sleep quality is needed to reduce bias.
An 8-Bit 4x4 Segmented Current-Steering DAC for Bipolar Biphasic Stimulators

The use of electrical stimulation is being demonstrated effective for the treatment of human motor disorders. The miniaturization of implantable stimulators demands the development of programmable systems in order to control the amount of injected charge for a given therapy. It requires the generation of biphasic pulses with different current amplitudes. The DAC is an important module in this system. DAC linearity is a key aspect, since current amplitudes must be accurately controlled by a digital input code. This work describes the development of a current-steering 8-bit segmented DAC followed by a power output stage for a bipolar stimulator capable to generate current levels from $- 255 \mu \mathrm{A}$ to $+ 255 \mu \mathrm{A}$ with resolution of $1 \mu \mathrm{A}$ in 180 nm process technology. Post-layout results demonstrated a maximum DNL and INL of 0.1685 and 1.71 LSBs, respectively.
Wideband Circularly Polarized Antenna Array Using Three-Layer Segmented Patches for Q-Band Application

A compact wideband circularly polarized (CP) millimeter-wave (mm-wave) antenna array using a three-layer segmented patches (SEP) element is presented in this letter. To achieve miniaturization and wideband feature, three-layer SEP with four L-shaped branches is first designed to generate three CP modes (AR minimum points) within a compact size. With the three CP modes, a broad AR bandwidth of 31.7% is achieved by the proposed CP element. Then, four metallic vias and an L-shaped feeding line are used to improve impedance matching. As a result, a wide impedance bandwidth of 33.1% is also obtained by the proposed CP element. Based on the proposed wideband CP element, a compact 4 × 4 CP antenna array fed by a simple full-incorporate microstrip network is designed. Measured results of the array show a 3 dB AR bandwidth of 29.7% from 30.1 to 40.6 GHz, an impedance bandwidth of 36.1% from 29.15 to 42.0 GHz, and a peak gain of 18.2 dBic, which is well suited for Q-band satellite communications.
Remote-Sensing Inversion Method for Evapotranspiration by Fusing Knowledge and Multisource Data

Evapotranspiration (ET) is the main process parameter of the land surface heat and water balance. Evapotranspiration remote-sensing inversion can be divided into two types of methods, process-driven and data-driven, according to the model power. This paper presents a comprehensive and systematic review of the research progress of data-driven ET remote-sensing inversion methods and their products; reviews the basic principles, advantages, and disadvantages of related methods/products from three perspectives: empirical regression, machine learning, and data fusion; and finally indicates the development direction of data-driven ET remote-sensing inversion research.
From Dukes-MAC Staging System to Molecular Classification: Evolving Concepts in Colorectal Cancer

This historical review aimed to summarize the main changes that colorectal carcinoma (CRC) staging systems suffered over time, starting from the creation of the classical Duke’s classification, modified Astler–Coller staging, internationally used TNM (T—primary tumor, N—regional lymph nodes’ status, M—distant metastases) staging system, and ending with molecular classifications and epithelial–mesenchymal transition (EMT) concept. Besides currently used staging parameters, this paper briefly presents the author’s contribution in creating an immunohistochemical (IHC)-based molecular classification of CRC. It refers to the identification of three molecular groups of CRCs (epithelial, mesenchymal and hybrid) based on the IHC markers E-cadherin, β-catenin, maspin, and vimentin. Maspin is a novel IHC antibody helpful for tumor budding assessment, which role depends on its subcellular localization (cytoplasm vs. nuclei). The long road of updating the staging criteria for CRC has not come to an end. The newest prognostic biomarkers, aimed to be included in the molecular classifications, exert predictive roles, and become more and more important for targeted therapy decisions.
The Association between Gut Microbiome Diversity and Composition and Heat Tolerance in Cattle

Cattle are raised around the world and are frequently exposed to heat stress, whether in tropical countries or in regions with temperate climates. It is universally acknowledged that compared to those in temperate areas, the cattle breeds developed in tropical and subtropical areas have better heat tolerance. However, the underlying mechanism of heat tolerance has not been fully studied, especially from the perspective of intestinal microbiomics. The present study collected fecal samples of cattle from four representative climatic regions of China, namely, the mesotemperate (HLJ), warm temperate (SD), subtropical (HK), and tropical (SS) regions. Then, the feces were analyzed using high-throughput 16S rRNA sequencing. The results showed that with increasing climatic temperature from HLJ to SS, the abundance of Firmicutes increased, accompanied by an increasing Firmicutes to Bacteroidota ratio. Proteobacteria showed a trend of reduction from HLJ to SS. Patescibacteria, Chloroflexi, and Actinobacteriota were particularly highest in SS for adapting to the tropical environment. The microbial phenotype in the tropics was characterized by an increase in Gram-positive bacteria and a decrease in Gram-negative bacteria, aerobic bacteria, and the forming of_biofilms. Consistently, the functional abundances of organismal systems and metabolism were decreased to reduce the material and energy demands in a hot environment. Genetic information processing and information storage and processing may be how gut flora deals with hot conditions. The present study revealed the differences in the structure and function of gut microbes of cattle from mesotemperate to tropical climates and provided an important reference for future research on the mechanism of heat tolerance regulated by the gut microbiota and a potential microbiota-based target to alleviate heat stress.
Electrochemical Deposition of ZnO Nanowires on CVD-Graphene/Copper Substrates

ZnO nanostructures were electrochemically synthesized on Cu and on chemical vapor deposited (CVD)-graphene/Cu electrodes. The deposition was performed at different electrode potentials ranging from −0.8 to −1.2 V, employing a zinc nitrate bath, and using voltametric and chronoamperometric techniques. The effects of the electrode nature and of the working electrode potential on the structural, morphological, and optical properties of the ZnO structures were investigated. It was found that all the samples crystallize in hexagonal wurtzite structure with a preferential orientation along the c-axis. Scanning electron microscopy (SEM) images confirm that the presence of a graphene covered electrode led to the formation of ZnO nanowires with a smaller diameter compared with the deposition directly on copper surface. The photoluminescence (PL) measurements revealed that the ZnO nanowires grown on graphene/Cu exhibit stronger emission compared to the nanowires grown on Cu. The obtained results add another possibility of tailoring the properties of such nanostructured films according to the specific functionality required.
Establishment of High-Voltage AC–DC Voltage Transfer Standards in 1–100-kHz Range at NMIJ

New thin-film range resistors have been developed at the National Metrology Institute of Japan, to re-establish ac–dc voltage transfer standards in the 100–1000-V range at frequencies of 1–100 kHz. In earlier studies, the voltage dependence of the ac–dc transfer difference was observed during step-up procedures above 300 V. One of the possible reasons for this voltage dependence is the temperature rise due to the Joule heating, which may cause changes in the resistance of the resistor, as well as the temperature dependence of the dielectric losses in the resistor coating. In this paper, to reduce the voltage dependence, new thin-film heaters were directly fabricated on an aluminum nitride substrate to prevent heat from accumulating in the range resistor. The voltage dependence was evaluated by measuring the differences in impedance among various range resistors. Negligible voltage dependence in the step-up procedures from 100 to 1000 V was achieved.
Environmental Corporate Social Responsibility and Workplace Pro-Environmental Behaviors: Person-Organization Fit and Organizational Identification’s Sequential Mediation

Organizations’ environmental performance has come increasingly under scrutiny given the need for sustainable, low-carbon economies. Workers’ pro-environmental behaviors (PEBs) can contribute to greener operations, but research on workplace PEBs is still an emerging field. This study examined how employees’ perceptions of environmental corporate social responsibility (CSR) policies and practices are related to their self-reported voluntary PEBs, including person-organization fit (P-O fit) and organizational identification’s role as sequential mediators. Data were gathered from 178 workers from different organizations via an online survey. The results reveal a positive relationship between perceived environmental CSR practices and work PEBs, which are both directly and indirectly connected through P-O fit and organizational identification. Managers can thus use environmental CSR activities to capitalize on employees’ P-O fit and organizational identification, thereby fostering work PEBS.
Physical Activity and Quality of Life in Adult Men and Women with Distorted Perception of Weight Status: Nationwide Surveys (KNHANES 2016–2018)

This study analyzed the distorted perception of weight in adults aged 20 years or older and investigated the difference in the amount of physical activity and health-related quality of life (HRQOL). This study examined 21,326 adults regarding their body mass index (BMI), subjective body recognition (SBR), physical activity (according to the Global Physical Activity Questionnaire; GPAQ), and HRQOL (EuroQol-5 Dimension; EQ-5D) from the 7th Korea National Health and Nutrition Examination Survey (2016–2018). Independent t-test, analysis of variance (ANOVA), chi-square test, and multiple regression analysis were conducted. The group with the same BMI and SBR significantly showed a long time of activity vigorous-intensity (F = 21.25, p = 0.003) and moderate-intensity time (F = 17.24, p < 0.001). In the ‘BMI = SBR’ group, the sub-group with normal BMI and normal SBR showed the highest vigorous-intensity (mean ± SD = 7.20 ± 26.05, F = 37.86, p < 0.001) and moderate-intensity (mean ± SD = 13.89 ± 30.18, F = 43.27, p < 0.001) activity times. The sub-group with normal BMI and normal SBR had the highest percentage of responding as normal in the five EQ-5D sub-items. For the score of the EQ-5D Index, the highest score was shown in the group that felt subjectively more obese than the actual BMI (F = 56.83, p < 0.001). In the ‘BMI = SBR’ group, these factors related to physical activity (vigorous-intensity, moderated-intensity, and walking) are factors influencing health-related quality of life in this regression model (F = 396.57, p < 0.001, R2 = 0.165). Various health promotion programs and policy recommendations to reduce the distorted perception of weight are required.
Fall detection with a single Doppler radar sensor and LSTM recurrent neural network

Falls are a serious health concern and a main cause of injuries among elders living independently at home. In this paper, we describe a new system for real-time automatic fall detection. In contrast to related formulations, the system employs a single continuous-wave micro-Doppler radar sensor to monitor a subject and Long Short-Term Memory based recurrent neural network (RNN) to identify falls from the time-frequency characteristics of the sensor’s returns. It does not require extra hardware or big data set to classify abrupt and slow falls from non-fall actions with superior detection accuracy.
A Fused Deep Learning Architecture for the Detection of the Relationship between the Mandibular Third Molar and the Mandibular Canal

The study aimed to generate a fused deep learning algorithm that detects and classifies the relationship between the mandibular third molar and mandibular canal on orthopantomographs. Radiographs (n = 1880) were randomly selected from the hospital archive. Two dentomaxillofacial radiologists annotated the data via MATLAB and classified them into four groups according to the overlap of the root of the mandibular third molar and mandibular canal. Each radiograph was segmented using a U-Net-like architecture. The segmented images were classified by AlexNet. Accuracy, the weighted intersection over union score, the dice coefficient, specificity, sensitivity, and area under curve metrics were used to quantify the performance of the models. Also, three dental practitioners were asked to classify the same test data, their success rate was assessed using the Intraclass Correlation Coefficient. The segmentation network achieved a global accuracy of 0.99 and a weighted intersection over union score of 0.98, average dice score overall images was 0.91. The classification network achieved an accuracy of 0.80, per class sensitivity of 0.74, 0.83, 0.86, 0.67, per class specificity of 0.92, 0.95, 0.88, 0.96 and AUC score of 0.85. The most successful dental practitioner achieved a success rate of 0.79. The fused segmentation and classification networks produced encouraging results. The final model achieved almost the same classification performance as dental practitioners. Better diagnostic accuracy of the combined artificial intelligence tools may help to improve the prediction of the risk factors, especially for recognizing such anatomical variations.
Chitosan–Hyaluronic Acid Nanoparticles for Active Targeting in Cancer Therapy

Cancer is the most common cause of death worldwide; therefore, there is a need to discover novel treatment modalities to combat it. One of the cancer treatments is nanoparticle technology. Currently, nanoparticles have been modified to have desirable pharmacological effects by using chemical ligands that bind with their specific receptors on the surface of malignant cells. Chemical grafting of chitosan nanoparticles with hyaluronic acid as a targeted ligand can become an attractive alternative for active targeting. Hence, these nanoparticles can control drug release with pH- responsive stimuli, and high selectivity of hyaluronic acid to CD44 receptors makes these nanoparticles accumulate more inside cells that overexpress these receptors (cancer cells). In this context, we discuss the benefits and recent findings of developing and utilizing chitosan–hyaluronic acid nanoparticles against distinct forms of cancer malignancy. From here we know that chitosan–hyaluronic acid nanoparticles (CHA-Np) can produce a nanoparticle system with good characteristics, effectiveness, and a good active targeting on various types of cancer cells. Therefore, this system is a good candidate for targeted drug delivery for cancer therapy, anticipating that CHA-Np could be further developed for various cancer therapy applications.
Kinematic analysis of a myoelectric transradial prosthesis: functional and biomimetic evaluation

This paper describes a motion analysis of a myoelectric upper limb prosthesis, focusing on kinematic synergies with respect to those of the human hand, during manipulation of several objects. Continuous research in prosthetic systems is seeking organ replacement with full functionality restoration. Reproducing kinematic coordination of the numerous DoF$s$ of the hand plays a key role. We used an optoelectronic system and reflective markers to acquire grasping positions of a hand and a state-of-art prosthesis available on the market. Using Principal Components Analysis, we evaluated the preponderance of the first two components (PC1 and PC2) both in the hand and in the prosthesis. PC1 and PC2 expressed over 90% of the variance in most of the prosthesis postures. Statistical analysis was conducted to evaluate differences between the level of variance expressed by each PC in the two data samples, to evaluate biomimicry. Building on findings regarding the joints involved in PC1 and PC2, future developments could involve thumb mechanics and the implementation of the principal synergistic schemes in the movement control algorithms of the prosthesis. This work offers a protocol and a testing methodology that could be replicated in clinical studies, on a larger sample of users and with the latest generation prosthesis.
Two-tone spectrum analysis for self-referenced characterization of high-speed phase modulators

A two-tone spectrum analysis method is proposed for self-referenced microwave characterization of high-speed electro-optic phase modulators (PMs) based on the frequency-shifted heterodyning. The method avoids correcting the roll-off responsivity of photodetection and alleviates the bandwidth requirements of the high-speed photodetector and the electrical spectrum analyzer. Moreover, it achieves very high frequency resolution and high stability measurement by the use of the two-tone frequency-shifted heterodyning.
Analisis Faktor-Faktor yang Mempengaruhi Penerimaan E-Filling Menggunakan Model UTAUT di Kecamatan Balige

Tujuan dari penelitian ini untuk menguji tingkat penerimaan sistem e-filling pada wajib pajak perorangan di kecamatan Balige menggunakan variabel ekspektansi kinerja, ekspektansi usaha, pengaruh sosial terhadap minat keperilakuan, dan kondisi-kondisi pemfasilitasi terhadap perilaku penggunaan, dan variabel moderasi age, gender, experience pada pengguna sistem e-filling dikecamatan Balige. Penelitian ini menggunakan model UTAUT (Unified of Theory Acceptance and Use of Technology). Data penelitian ini diperoleh melalui kuesioner dengan jumlah sampel sebanyak 347 pengguna e-filling perorangan dari jumlah populasi 2.068 pengguna E-filling. Model analisis data yang digunakan dalam penelitian ini yaitu pengujian uji t untuk menguji pengaruh variabel independen terhadap variabel dependen secara parsial dan variabel moderasi dengan metode residual. Tools yang digunakan untuk membantu menganalisis adalah software SPSS versi 19. Hasil dari penelitian ini dari 16 hipotesis yang diajukan terdapat 5 hipotesis yang diterima yaitu ekspektansi kinerja, ekspektansi usaha, pengaruh sosial, kondisi-kondisi pemfasilitasi berepengaruh positif dan signifikan terhadap minat keperilakuan dan perilaku penggunaan. 4 hipotesis moderasi yang diterima, 7 hipotesis moderasi ditolak
Effect of nutrient media enhanced with plant-growth regulators on indirect somatic embryogenesis induction for the tissue culture of Digitalis purpurea

The aim of this study was to establish effective protocols in indirect somatic embryogenesis induction for the tissue culture of Digitalis purpurea in several nutrient mediums enhanced with plant-growth regulators and in the presence of light and dark factors. The results show the superiority of the Vollosovich (5C01) medium in terms of the days required for callus formation compared to the Murashige and Skoog (MS), Linsmaier and Skoog (LS), and Gamborg (B5) media in dark and light conditions. According to the callus induction index, the leaf explants were superior to the stem and root explants. Moreover, leaf explants had the highest number of indirect somatic embryos in the MS medium, with 12.50 and 14.25 in the dark and light, respectively. On the other hand, the 5C01 medium was superior for the callus induction and formation index. The results show a 95% callus induction rate at a concentration of 2 mg/L of NAA+1 mg/L of Kin in the dark and light treatments compared to all the studied treatments in the MS, LS, and B5 mediums. At a concentration of 0.25 mg/L 2.4-D+2 mg/L BA, the MS medium was better for the induction and formation index of indirect somatic embryos of the studied Callus induction from leaf explants by 52.75% in the dark treatments and by 90% in the light treatments.