Miracle-dz/UniFAR-FTUs huggingface dataset:
Normalized effect size (NES): a novel feature selection model for Urdu fake news classification

Social media has become an essential source of news for everyday users. However, the rise of fake news on social media has made it more difficult for users to trust the information on these platforms. Most research studies focus on fake news detection in the English language, and only a limited number of studies deal with fake news in resource-poor languages such as Urdu. This article proposes a globally weighted term selection approach named normalized effect size (NES) to select highly discriminative features for Urdu fake news classification. The proposed model is based on the traditional inverse document frequency (TF-IDF) weighting measure. TF-IDF transforms the textual data into a weighted term-document matrix and is usually prone to the curse of dimensionality. Our novel statistical model filters the most discriminative terms to reduce the data’s dimensionality and improve classification accuracy. We compare the proposed approach with the seven well-known feature selection and ranking techniques, namely normalized difference measure (NDM), bi-normal separation (BNS), odds ratio (OR), GINI, distinguished feature selector (DFS), information gain (IG), and Chi square (Chi). Our ensemble-based approach achieves high performance on two benchmark datasets, BET and UFN, achieving an accuracy of 88% and 90%, respectively.
Comprehensive Physicochemical Characterization, In Vitro Membrane Permeation, and In Vitro Human Skin Cell Culture of a Novel TOPK Inhibitor, HI-TOPK-032

Nonmelanoma skin cancers (NMSC) are the most common skin cancers, and about 5.4 million people are diagnosed each year in the United States. A newly developed T-lymphokine-activated killer cell-originated protein kinase (TOPK) inhibitor, HI-TOPK-032, is effective in suppressing colon cancer cell growth, inducing the apoptosis of colon cancer cells and ultraviolet (UV) light-induced squamous cell carcinoma (SCC). This study aimed to investigate the physicochemical properties, permeation behavior, and cytotoxicity potential of HI-TOPK-032 prior to the development of a suitable topical formulation for targeted skin drug delivery. Techniques such as scanning electron microscopy (SEM), energy-dispersive X-ray (EDX) spectroscopy, differential scanning calorimetry (DSC), hot-stage microscopy (HSM), X-ray powder diffraction (XRPD), Karl Fisher (KF) coulometric titration, Raman spectrometry, confocal Raman microscopy (CRM), attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR), and Fourier transform infrared microscopy were used to characterize HI-TOPK-032. The dose effect of HI-TOPK-032 on in vitro cell viability was evaluated using a 2D cell culture of the human skin keratinocyte cell line (HaCaT) and primary normal human epidermal keratinocytes (NHEKs). Transepithelial electrical resistance (TEER) at the air–liquid interface as a function of dose and time was measured on the HaCAT human skin cell line. The membrane permeation behavior of HI-TOPK-032 was tested using the Strat-M® synthetic biomimetic membrane with an in vitro Franz cell diffusion system. The physicochemical evaluation results confirmed the amorphous nature of the drug and the homogeneity of the sample with all characteristic chemical peaks. The in vitro cell viability assay results confirmed 100% cell viability up to 10 µM of HI-TOPK-032. Further, a rapid, specific, precise, and validated reverse phase-high performance liquid chromatography (RP-HPLC) method for the quantitative estimation of HI-TOPK-032 was developed. This is the first systematic and comprehensive characterization of HI-TOPK-032 and a report of these findings.
FRAMEWORK FOR CRAFTSMEN TRAINING FOR SUSTAINABLE DEVELOPMENT IN THE CONSTRUCTION INDUSTRY IN NIGERIA

Craftsmen find it difficult to perform, despite their involvement in project operations towards sustainable development in the construction industry, due to inadequate training needs. In order to sustain craftsmen rewarding operations to remain focused and relevant for better performance, this paper, examined and analyzed the existing training offered to the Nigerian construction craftsmen with a view to developing a craftsmen training needs framework for adequate and effective training of construction craftsmen for sustainable development in Nigeria. Methodology involves extensive review of related literature on craftsmen training, theories and training frameworks in construction industry. The findings of the study revealed that the efficient craftsmen training for the construction industry consist of seven critical areas. This is based on the level of importance placed by construction organizations in ensuring that adequate emphasis is placed on the appreciation and development of the workers to totally benefits from the training. This study further developed efficient framework needed for training of construction craftsmen towards achieving sustainable development in the construction industry in Nigeria. The practical implication reveals that, constructions organization trainers, managers, and educators should adopt this practical framework for adequate training of construction craftsmen. This will significantly promote better performance in the Nigerian construction industry for sustainable development.
Techno-Social Experiences of Privacy and Intimacy in College Culture

This work considers the contemporary intersections of intimacy, technology, and privacy among college students in the US. This article outlines a framework for shifting social meanings and theorizes some potential implications. This project includes data from two primary field sites, a private university in the northeast and a public college in the southeast. I used a combination of face-to-face interviews and online ethnographic data collection methods for this project. Findings from this study indicate that while the concepts of intimacy and privacy remain fundamentally important to participants, the definitions of such concepts and their relationship with one another are being changed by communication technologies. Increasingly, young adults are defining privacy as the experience of managing their digital identity and understanding intimacy as being potentially disconnected from shared exchanges of private information. However, these ideas are in transition, and still deeply contested by participants.
Driving Behavior Classification Using Smartphone Sensor Data

Given the substantial number of accidents because of human error, the development of automatic driver behavior monitoring systems has become a pressing need. By providing real-time monitoring and analysis of driving behavior, these systems have the potential to decrease the incidence of accidents and improve overall road safety. This study presents a novel analysis framework for classifying driving behavior based on data gathered from passengers' smartphones. The data were collected using our mobile application installed on the smartphones and processed using machine learning algorithms. The study utilized several machine learning classification t echniques, w ith a focus on developing a Long Short Term Memory (LSTM) algorithm for improved accuracy. A Federated Learning algorithm was also developed to collect the data not into one area and train a global model to apply for labeling the driving behavior. The results show the efficacy of the proposed approach in accurately classifying driving behavior based on data obtained from smartphones.
The Principles of Housing

maju nikakav svoj interes, iako već ionako izdvajaju financijska sredstva za obrazovanje. Autor smatra kako bi akademska zajednica morala napraviti velik pomak i shvatiti da porezni obveznici imaju potpuno pravo tražiti odgovornost prema utrošenim sredstvima. Naravno, to nije lako ideološki riješiti, ali nema sumnje kako studiji moraju biti pragmatičniji i jeftiniji. To se može lakše ostvariti ako akademska zajednica takve zahtjeve postupno počne usvajati i barem se malo prilagodi novonastaloj stvarnosti. Najkraće, sustav obrazovanja, kao i svaka javna politika, treba biti učinkovit i odgovoran prema utrošenim sredstvima, a za to je potrebno ukloniti neracionalnosti kojih, nažalost, u politici obrazovanja ima poveći broj. Ovom knjigom autor je vrlo uspješno ostvario zahtjevnu zadaću: pojasniti čitateljima mnogobrojne greške vezane uz hrvatsku obrazovnu politiku u razdoblju od posljednjih desetak godina. U cjelini, riječ je o vrlo zanimljivoj, korisnoj i vrijednoj knjizi autora koji odlično poznaje problematiku kojom se bavi.
Mitochondrial regulation in human pluripotent stem cells during reprogramming and β cell differentiation

Mitochondria are the powerhouse of the cell and dynamically control fundamental biological processes including cell reprogramming, pluripotency, and lineage specification. Although remarkable progress in induced pluripotent stem cell (iPSC)-derived cell therapies has been made, very little is known about the role of mitochondria and the mechanisms involved in somatic cell reprogramming into iPSC and directed reprogramming of iPSCs in terminally differentiated cells. Reprogramming requires changes in cellular characteristics, genomic and epigenetic regulation, as well as major mitochondrial metabolic changes to sustain iPSC self-renewal, pluripotency, and proliferation. Differentiation of autologous iPSC into terminally differentiated β-like cells requires further metabolic adaptation. Many studies have characterized these alterations in signaling pathways required for the generation and differentiation of iPSC; however, very little is known regarding the metabolic shifts that govern pluripotency transition to tissue-specific lineage differentiation. Understanding such metabolic transitions and how to modulate them is essential for the optimization of differentiation processes to ensure safe iPSC-derived cell therapies. In this review, we summarize the current understanding of mitochondrial metabolism during somatic cell reprogramming to iPSCs and the metabolic shift that occurs during directed differentiation into pancreatic β-like cells.
Choosing Relevant Internet Assisted Course Types for Professional Development

Online courses for the professional development of workers in service is ever pervasive and continually growing. However, studies of teaching with technology are mostly conducted in K-12, pre-service, or higher education settings resulting in a lack of attention given to the professional development context. In addition, most studies tend to investigate learners instead of instructors, even though the latter are reportedly struggling in conducting online teaching. One of the struggles instructors face includes choosing effective technologically enhanced course types in line with the learning content. This study aims to alleviate the issue by investigating online courses in a professional development context, particularly one in a government institution namely the Financial Education and Training Agency (FETA) under the Indonesian Ministry of Finance. By analyzing curriculum documents followed by interviewing online instructors, the present study aimed to uncover practice-based considerations to guide the selection of course types for online courses. There were essentially three main course types at FETA: distance learning, web-based learning, and webinar courses, each suitable for various kinds of learning content.
Viability Base Gel as Potential for Fabricating Crassostrea gigas hydroxyapatite (HA-Crassostrea gigas shell) Gel for Dental Caries Repair

This study aims to create a gel base composition that has the potential to be combined with hydroxyapatite from the biogenic material Crassostrea gigas as a gel that can repair dental caries. The base gel composition consists of Na-CMC, guar gum, and glycerin which can dissolve the HA element without settling so that it can be applied well to the teeth. nano HA contained in Crassostrea gigas can potentially remineralize and improve caries in teeth. Therefore, it is inevitable that the base gel is safe to make composites with nano HA as a function of repairing dental caries. The potential of HA as a tooth remineralization material was proven by the SEM, FTIR, and XRD characterization of CaCO3 and CaO, which have sharp crystallinity. The base gel is safe to be applied to the bones of the teeth by the MTT test treatment. This proves that the base gel is not toxic and has high viability of 92.66% at a dose of 31.25 μg/mL. The IC50 value was 688.6 μg/ml. These results are safe to be applied with nano HA material and are safe to be applied to the bones of the teeth.
Analysis of Roles of Human Activities in Land Desertification in Arid Area of Northwest China

The important conflict in arid area is the negative effect of human activities to environment for which the land desertification is taken in the leading position. Based on the characteristics of arid area and the concept of land desertification given by ”United Nations Convention to Combat Desertification in Those Countries Experiencing Serious Drought and /or Desertification, Particularly in Africa, 1994, 10 in Paris”, the conceptual model of desertification causes is built. In this model, the natural factors include geology, climate, hydrology, vegetation and land and the human operates on these natural factors. The different natural factors have different ways of human activities. Through the analysis on specialties and meaning of human activities, the human activities are thought as consisting of driving and manner factors. Further, the manners and driving force of human activities on land desertification are studied. According to some criterions, an indexes system which shows the human activity effect on desertification in arid area is designed. The most of indexes are quantitative in this system and it can indicate the dynamic changes. Thus, the indexes system can supply the basis for the quantifying study of human effect on desertification.
Controller Placement and TDMA Link Scheduling in Software Defined Wireless Multihop Networks

In this paper, we iterate on Software Defined wireless Multihop Networks (SDWMNs) and TDMA-scheduled links, where data and SDN control traffic compete for the same resources. Two control functions are key in ensuring adequate Quality of Service (QoS) for data flows and high responsiveness (low latencies) for the SDN control-plane messages exchanged between the network nodes: the SDN Controller placement, which determines the paths of SDN control messages across the network and their overlap with the data traffic paths; and the TDMA scheduling, which distributes time slots between these two types of traffic, prioritizing them in different ways. Our take, in this paper, is that by coordinating these two control functions, rather than executing them independently, we can deal more efficiently with the data QoS-SDN responsiveness trade-off. We, thus, pursue the joint optimization of controller placement and link scheduling, formulating the respective optimization problem and proposing a novel heuristic algorithm for it. Its main idea is to, first, determine maximal sets of simultaneously transmitting non-interfering links to serve the data traffic requirements and, then, seek a Controller placement that takes best advantage of the spare link transmission opportunities in those sets. We compare our algorithm with benchmark solutions that carry out the two control functions independently and find that it trades far better the rate that can be allocated to data traffic with the communication delays at the SDN control plane.
Gas Hydrate Seismic Identification and Characterizations in X Basin, West Sulawesi.

Gas hydrate is solid solution which is formed when gas molecules were trapped in crystal lattices that is formed by water molecules at low temperature and high pressure. So that gas hydrate commonly found in permafrost and deep water ocean along continental margin. In Indonesia, gas hydrate can be found in deep ocean along subduction zone, such as Sunda Arc Basin and X Basin. X Basin is located at western Sulawesi. The presence of gas hydrate in nature can be represented by Bottom Simulating Reflector (BSR) on seismic section. BSR occur if gas hydrate bearing sediment and gas/water bearing sediment below has a negative contrast acoustic impedance. Those negative value is caused by the increasing of P- and S-wave velocity and density in gas hydrate bearing sediment. 3D seismic acquisition has been conducted in X Basin. The data was processed so gas hydrate in this basin can be identified and characterized. Firstly, the preliminary seismic data processing was conducted to produce a good quality seismic section/gathers. Secondly, this seismic section/gathers are developed by using advance seismic processing, such as seismic attributes, and AVO methods. Unfortunately, there is no well log data for this study, so the identification and characterization has been done as an estimation without an accurate validation. Seismic section/gathers in this study give information about the presence of gas hydrate. BSRs can be seen clearly almost in every along the crossline direction and they can be used as preliminary identification. Furthermore, RMS amplitude slice section and apparent polarity resulted in the same way. Through the seismic attribute method, gas hydrate bearing sediment velocity can be estimated around 2000 m/s with 100 m of thickness.
Model-Based Voltage Prediction for a Zinc-Air Cell Subject to Piecewise Constant Discharge Currents

The paper is dedicated to the modeling of the dynamical behavior of a Zinc-Air battery. The main goal is to construct a model-based prediction mechanism for the output voltage of the battery cell as a function of the discharge current profile. There are several difficulties behind this construction, mainly related to the nonlinear behavior, the high influence of the cell geometrical configuration, and ultimately the impact of the measurements in the transitory. The current work goes a step forward with respect to the constant current models developed in the previous studies and enhances a series of modeling hypotheses through the analysis of a piece-wise constant discharge profile. The important advantage of the results presented in the current work is related to the real-data measurements accompanied by the detailed pre-treatment procedures and, finally, to the construction of the model and the comparison with the existing alternative approaches.
Model Predictive Control-Based Guidance with Impact Angle Constraints for Visual Quadrotor Interception

With the increase in the popularity of commercial/military drones, anti-drone systems are needed to prevent them from being used for unauthorized purposes. One of the anti-drone methods, especially for urban environments, is the engagement of drones with other drones. This paper focuses on the visual quadrotor interception problem, which solution requires impact angle constraints due to keeping the target visually within the camera frame requirement. Moreover, parallel interceptions (toward the head or back) provide robustness to inevitable visual processing latency compared to lateral engagements. By addressing these issues, the proposed methodology mainly utilizes Model Predictive Control (MPC) method with added terminal constraints to satisfy engagement at the desired angle. While formulating the MPC, the objective function in the MPC is modified to reduce the interceptor's requirement for maneuvering at the end of the trajectory. MPC prediction horizon is calculated by considering vehicle limits to satisfy the feasibility of the problem. We have assessed the performance of the proposed guidance methodology for numerous scenarios with both maneuvering and non-maneuvering targets. With the proposed guidance method, engagement is made at desired impact angle along with less maneuvering requirement at the end of the interception.
Chernobyl’s Aftermath: Multiple Manifestations of Basalioma in a Patient after Radioactive Contamination in 1986

Background: The Chernobyl nuclear disaster is still considered the worst nuclear accident in history. The particles were dispersed over the former USSR and large parts of Western Europe, leading to radioactive exposure to more than 10 million people. Radioactivity is a risk factor for the development of basal cell carcinoma (BCC), since radiation-induced mutations in both Sonic hedgehog (Shh) signaling pathway genes and TP53 have been described. Methods: We present the case of a patient with a history of radiation exposure following the 1986 Chernobyl accident who presented to our outpatient clinic with recurrent basal cell carcinoma in the facial region. Case: The patient presented to our clinic with two facial lesions suspicious for BCC. Although there were no typical risk factors, 11 BCCs had previously been removed. The patient had been building shelters for the construction workers working on the sarcophagus around the destroyed reactor immediately after the 1986 accident. Staging using an 18F-FDG-PET/CT as well as ultrasound of the abdomen revealed no other tumor manifestations. Diagnostic excision of the two facial lesions was performed, and a histopathological workup revealed BCC at the right temporal region and acanthopapillomatosis with no sign of malignancy at the corner of the mouth. After presentation to the tumor board, complete resection of the BCC was initiated. Conclusions: This case demonstrates the value of early use of 18F-FDG-PET/CT in staging/restaging to visualize BCC location, local spread and potential metastases or secondary tumors and to aid in the decision for therapeutic management.
Advances in Biomarkers for Diagnosis and Treatment of ARDS

Acute respiratory distress syndrome (ARDS) is a common and fatal disease, characterized by lung inflammation, edema, poor oxygenation, and the need for mechanical ventilation, or even extracorporeal membrane oxygenation if the patient is unresponsive to routine treatment. In this review, we aim to explore advances in biomarkers for the diagnosis and treatment of ARDS. In viewing the distinct characteristics of each biomarker, we classified the biomarkers into the following six categories: inflammatory, alveolar epithelial injury, endothelial injury, coagulation/fibrinolysis, extracellular matrix turnover, and oxidative stress biomarkers. In addition, we discussed the potential role of machine learning in identifying and utilizing these biomarkers and reviewed its clinical application. Despite the tremendous progress in biomarker research, there remain nonnegligible gaps between biomarker discovery and clinical utility. The challenges and future directions in ARDS research concern investigators as well as clinicians, underscoring the essentiality of continued investigation to improve diagnosis and treatment.
Transducer Distribution on Spherical Arrays for Ambisonics Recording and Playback

Microphone and loudspeaker arrays are nowadays more and more employed in several applications, such as automotive industry, entertainment, immersive teleconferencing, or remote assistance. The position of the transducers over the surface of the array has a great influence on the beamforming, and so on the spatial performance. In this paper, a recurring geometrical problem is discussed: choosing the optimal locations of transducers for spherical arrays, either microphones or loudspeakers.None of the existing systems is currently relying on a spherical design, or t-design, for the arrangement of the transducers on the sphere. It will be shown that such mathematically optimized geometry is an optimal solution for the design of spherical arrays. They are the only known geometries ensuring a lossless transformation back and forth between the two most common spatial audio format: Ambisonics, which makes use of spherical harmonics, and Spatial PCM Sampling, which relies on unidirectional, high directivity virtual microphones.