Miracle-dz/UniFAR-FTUs huggingface dataset:
It's the Smell: How Resolving Uncertainty About Local Disamenities Affects the Housing Market

This study examines how the housing market responds to closing a major, local environmental disamenity when the policy announcement resolves years of uncertainty. Specifically, we explore this question in the context of a surprise announcement to close the Fresh Kills Landfill on Staten Island, New York, which was, at one point, the largest landfill in the world. Empirically, we exploit both spatial variation and the timing of this policy shock, finding the long-awaited announcement to curb this notorious disamenity (i.e. its smell), counter-intuitively, decreased nearby home prices by about six percent relative to the control group. This occurred as homeowners of the previously illiquid homes nearest to the landfill rushed to sell their homes after this uncertainty was resolved, where weekly volume of transactions nearly doubled directly following the announcement. As an additional control, we observe thousands of properties near landfills elsewhere in the U.S. experienced no similar pattern over the same period. Our results suggest that when policymakers resolve uncertainty about (dis)amenities, the immediate effect on prices might be more ambiguous than a demand-oriented story might predict ex ante , as resolution of substantial uncertainty can also be a potent driver of pent-up supply, flooding a market in the short-run.
Fenomena Bermain Game dan Kejadian Internet Gaming Disorder (IGD) pada Remaja

Game adalah salah satu kegiatan rekreasi paling umum tanpa memandang budaya, usia, dan jenis kelamin, terutama sejak perkembangan internet. Bermain game yang bisa dilakukan bisa dilakukan secara online dan offline. Adapun bermain game online bisa menyebabkan kejadian Intenet Gaming Disoder (IGD). Penelitian ini bertujuan untuk mengetahui tentang fenomena bermain game pada remaja Sekolah Menengah Pertama dan Sekolah Menengah Atas dan kejadian Intenet Gaming Disoder (IGD). Penelitian ini menggunakan desain cross sectional dengan populasi dan sampel adalah remaja Sekolah Menengah Pertama dan Sekolah Menengah Atas. Pengumpulan data dilakukan selama 1 minggu dengan menggunakan google form dan assessment terhadap internet gaming disorder adalah berdasarkan DSM-5 yang diadaptasi dari Video Game Dependency Scale yang meliputi 9 kriteria dari internet gaming disorder. Hasil Penelitian disajikan dalam bentuk tabel distribusi frekuensi dan narasi. Dari 132 responden terdapat 40 remaja bermain game online, 63 bermain game offline dan 29 remaja bermain game online dan offline. Dari 40 remaja yang bermain game online tidak didapatkan kejadian Intenet Gaming Disoder (IGD). Diperlukan kehadiran orang tua secara emosional dan keluarga yang nyaman serta adanya upaya sosialisasi berkaitan dengan pengunaan waktu bermain game sebagai antisipasi dampak negatif bermain game sehingga game tidak mengganggu kehidupan.
Effectiveness of Bio-organic Fertilizer Formulas to Increase Productivity of Upland Rice and Dehydrogenase Activity in Lampung Acid Upland

Development of acid upland in Indonesia still has constraints. To solve the constraint, environmental friendly technology by using organic matter and beneficial microbes is necessary. This study aimed to determine the effectiveness of bio-organic fertilizer formulas for increasing productivity of upland rice plant in acid upland. This study used a randomized block design with 11 treatments using un-treatment as a control and some combination of NPK and bio-organic fertilizer. Each treatment was repeated three times, the size of plot was 5 m x 5 m. Upland rice var. Situ Patenggang was used as a plant indicator, with cultivication spacing of 40 cm x 15 cm. Combination treatment of NPK and bio-organic fertilizer increased population of P-solubilizer and N-fixer bacteria, plant height and tillers. Treatments of NPK-rec, ¾ NPK-rec and combination of ½ NPK-rec, ¾ NPK-rec and NPK-rec with both bio-organic formulas gave the weight of dried unhusked upland rice equal was 1.92 to 2.56 t ha -1 significantly higher compared to the control. The highest RAE was generated by treatment of NPK-rec combined with Bio-Organic Formula II about 137%. Bio-Organic Formula II could increase the growth and productivity of upland rice var. Situ Patenggang and could increase the efficiency udeof ½ NPK fertilizer dosage recommendations or equivalent with 125 kg urea, SP-36 100 kg, and 35 kg KCl ha -1 and increased the dehydrogenase activity.
A Cost-Effective Structure for Secondary Discharge Control to Improve System-Level ESD Immunity of a Mobile Product

A structure embedded in a printed circuit board is proposed to control secondary discharge currents and improve the system-level electrostatic discharge (ESD) immunity for a mobile product with a metal frame. Noise voltages and discharge currents were measured and analyzed according to several secondary discharge paths, such as an air arc, a voltage suppressor device, and with the interlaced suppression device. ESD events that caused soft failures of a real commercial mobile product were tested while a high-definition video was playing. System-level ESD-induced noise and soft failures were cost effectively reduced by the interlaced suppression device.
A Bidirectional DHC-LT Resonant DC-DC Converter with Research on Improved Fundamental Harmonic Analysis Considering Phase Angle of Load Impedance

This paper presents a novel 400 V–50 V bidirectional DHC-LT resonant DC-DC converter. By adding a resonant capacitor and an auxiliary transformer based on LLC, zero-voltage switching (ZVS) and zero-current switching (ZCS) are achieved, while the output voltage gain range is broadened in two directions. Operation principles and robustness are discussed with equations. Then, the error factor of fundamental harmonic analysis (FHA) in resonant converters is analyzed. Considering the phase difference between the output voltage and resonant tank current, an improved method is proposed to describe the behavior of the DHC-LT converter more precisely. A comparison is conducted to prove the effectiveness of the proposed FHA. Furthermore, in order to reduce the output voltage and provide a ripple-free charging current, a fixed-frequency phase-shift strategy is introduced in the DHC-LT converter. ZVS can be realized through the reasonable design of dead time and phase-shift angle. Finally, a 2.5 kW prototype of the DHC-LT resonant DC-DC converter with a digital signal processor (DSP) platform and a battery/PV DC test system is established in the lab to validate the theoretical analysis.
Optimal Energy Management Scheme of Battery Supercapacitor-Based Bidirectional Converter for DC Microgrid Applications

Because of the splendid front of sustainable energy reassets in a DC Microgrid, it is profoundly willing to variances in energy age. A hybrid energy storage system (HESS) which includes a battery and a supercapacitor (SC) is used to decrease in-built fluctuations. The two different characteristics of the battery and supercapacitor make it a great match for HESS applications. The HESS is connected to the DC Microgrid through a bidirectional converter, which allows energy to be exchanged between the battery and supercapacitor. This paper discusses a converter presenting an approach for a double-input bidirectional converter. Related to this, a regulator was designed for use as a voltage regulation in a DC Microgrid. The designed controllers accelerated PV generation and load disturbance DC link voltage restoration, in addition to effective power balancing among the battery and the SC. The conventional PI, proposed PI, and predictive PI control techniques are effectively validated using MATLAB Simulink. Experimental findings with low power have been used to validate the operation of the predictive PI control technique. The DC grid voltage profile showed substantial improvement while using the predictive PI control in comparison with the proposed and conventional PI control techniques in terms of setting time and maximum peak overshoot.
Influence of Knowledge Management Capability on Internationalization Status of Public Universities in Kenya

Purpose: The purpose of the study was to analyze the influence of knowledge management capability on internationalization status of public universities in Kenya. Methodology: The study was conducted in 31 public chartered universities in Kenya and employed a descriptive research design. A cross-sectional survey involving both analytical and descriptive methods to address the objectives of the study was used. To analyze quantitative data, descriptive factor analysis and inferential statistics (correlation and regression) were used. To analyze quantitative data, descriptive factor analysis and inferential statistics (correlation and regression) were used. Results: Regression results showed that knowledge management capability had a significant and positive influence on internationalization status. Recommendations: The study further recommends that universities should utilize knowledge to enhance internationalization status through development of knowledge management policies and to encourage employees to utilize the knowledge gained on internationalization to develop new innovations and come up with new products and services. It is important for policy makers in public universities to develop robust and dedicated knowledge management capabilities. This is because knowledge management lead to growth and expansion of organizations internationally and subsequently improve the firm’s performance.
Preferencia en la Utilización de Plataformas y Diferentes Usos de Internet. El Rol Moderador de los Rasgos Psicopatológicos de Personalidad en la Relación con el Bienestar Percibido

The present study analyzed preferences for different Internet platforms and their use, considering different psychological variables. The sample consisted of 622 Argentine individuals from the Metropolitan Area of Buenos Aires (292 men, 330 women); average age was 40.79 years (SD=14.99). Data was gathered with Big Five Inventory, Mental Health Continuum S-F, Personality Inventory for DSM-5 B-F, and an ad-hoc designed survey to assess different Internet uses. The results showed that users use the Internet mainly for work purposes. Such use was positively associated with a greater presence of normal personality traits and levels of well-being, and negatively associated with the presence of maladaptive personality traits. Finally, evidence of the moderating role of maladaptive personality traits between platform use and perceived levels of well-being was obtained.
Metal Oxide Semiconductor Nanostructure Gas Sensors with Different Morphologies

There is an increasing need for the development of low-cost and highly sensitive gas sensors for environmental, commercial, and industrial applications in various areas, such as hazardous gas monitoring, safety, and emission control in combustion processes. Considering this, resistive-based gas sensors using metal oxide semiconductors (MOSs) have gained special attention owing to their high sensing performance, high stability, and low cost of synthesis and fabrication. The relatively low final costs of these gas sensors allow their commercialization; consequently, they are widely used and available at low prices. This review focuses on the important MOSs with different morphologies, including quantum dots, nanowires, nanofibers, nanotubes, hierarchical nanostructures, and other structures for the fabrication of resistive gas sensors.
“Quedarse madre”. Maternidad y duelo en el proceso de salud-enfermedad-cuidado

Objetivos. El proceso de salud-enfermedad-cuidados dota de sentido nuestra manera de estar en el mundo en la relación personal con el cuerpo que somos y en la interacción con unos “otros” con los que convivimos en interdependencia. En no pocas ocasiones, este proceso tiene la particularidad de verse atravesado por la situación crítica derivada de una enfermedad o accidente con o sin resultado de muerte. En la tensión entre el nacimiento y la muerte, algunas madres tienen que volver a definirse tras el duelo por la pérdida de un hijo. Metodología. Con una metodología mixta entre el método biográfico, la etnografía y la medicina narrativa construimos un modelo integrado por defecto en el que cada informante es a su vez un sujeto que toma las riendas de su propia vida y un profesional que aprende a atender a otras personas titulares de derechos elementales como salud, educación o justicia. Resultados. A partir de relatos de salud-enfermedad-cuidado podemos afianzar aprendizajes para después de la pandemia. En este proceso, los aspectos de salud mental al elaborar autopsias psicológicas, sirven para desentrañar el dolor de las “madres que se quedan madres”. Conclusiones. Los relatos biográficos obtenidos constituyen una herramienta validada en los talleres de promoción de salud al tiempo que sirven como un material etnográfico valioso como estudios de caso para el empoderamiento en salud después del coronavirus y para diferentes procesos de duelo.
A Lightweight Joint RIS/BS Configuration Scheme

The integration of RIS elements in upcoming 6G networks appears a major breakthrough to extend network coverage and capacity. This paper introduces a new link-layer scheme for RIS-enabled communications building on existing models for the physical layer of RIS technologies. The scheme is able to integrate the selection of precoders/beams in a codebook and scheduling of UEs at once. Furthermore, elements for the integration of the proposed scheme in current 3GPP-5G specifications are addressed. The scheduler combines a slow mechanism operating at the downlink OFDMA frame scale with a standard proportional fair scheduler operating at the OFDMA slot scale and accommodating both LOS and nonLOS UEs. We introduce an optimization framework for the proposed scheduler whose performance is hence simulated in a reference scenario. The spectral efficiency figures in our tests confirm a large gain of the scheme against a baseline direct path scheme. Finally, the scheduler optimization permits to achieve a further improvement of 15-20% for non line-of-sight users.
Optimal Solution of Classification (Prediction) Problem

Classification or prediction problem is how to solve it using a specific feature to obtain the predicted class. A wheat seeds specifications 4 3 classes of seeds will be used in a prediction process. A multi-linear regression will be built, and a prediction error ratio will be calculated. To enhance the prediction ratio an ANN model will be built and trained. The obtained results will be examined to show how to make a prediction tool capable to compute a predicted class number very close to the target class number.
Design of SIW cavity-backed self-triplexing antenna

A novel substrate integrated waveguide (SIW) cavity-backed self-triplexing slot antenna, consisting of a hybrid SIW cavity resonator is proposed for tri-frequency operation. The hybrid cavity resonator is an amalgamation of a half-mode circular and half-mode rectangular SIW cavity resonator. A radiating slot is etched on its top surface, which produces three distinct resonant frequencies (5.57, 7.17 and 7.65 GHz) when it is excited by three microstrip lines. The lower band around 5.57 GHz is achieved due to a half-mode circular cavity resonator, when the corresponding microstrip line is excited. On the other hand, remaining two bands around 7.17 and 7.65 GHz are achieved due to half-mode rectangular cavity resonator when excited by the corresponding microstrip lines. The experimental isolation level between any two feed lines is better than 20 dB, which helps to introduce the self-triplexing phenomenon. Moreover, the proposed design is realised on a single-layered copper-laminated dielectric substrate, maintaining planar configuration.
APPLICATION OF AN IMPROVED BOWTIE METHOD IN A CSM-COMPLIANT RISK ASSESSMENT OF A CHANGE INTRODUCED IN THE EU RAILWAY SYSTEM

The issue of managing the risk associated with introducing changes to the railway system is very important from the point of view of safety management, as any change can significantly reduce the level of safety of a railway system. For this reason, such changes are regulated at the European Union (EU) level through a dedicated legal act known as the Common Safety Method for risk assessment (CSM). The example presented in this paper is a portion of the analysis carried out for an Estonian freight carrier with a bowtie method, which we improved so that it fully complies with the CSM requirements. This analysis concerns a change consisting of allowing the possibility of a freight train being driven by one person (with no assistant driver). The case study presented in the paper, although limited due to confidentially issues, allows a full description of how to use the proposed method in real-world applications.
Germline Testing in a Cohort of Patients at High Risk of Hereditary Cancer Predisposition Syndromes: First Two-Year Results from South Italy

Germline pathogenic variants (PVs) in oncogenes and tumour suppressor genes are responsible for 5 to 10% of all diagnosed cancers, which are commonly known as hereditary cancer predisposition syndromes (HCPS). A total of 104 individuals at high risk of HCPS were selected by genetic counselling for genetic testing in the past 2 years. Most of them were subjects having a personal and family history of breast cancer (BC) selected according to current established criteria. Genes analysis involved in HCPS was assessed by next-generation sequencing (NGS) using a custom cancer panel with high- and moderate-risk susceptibility genes. Germline PVs were identified in 17 of 104 individuals (16.3%) analysed, while variants of uncertain significance (VUS) were identified in 21/104 (20.2%) cases. Concerning the germline PVs distribution among the 13 BC individuals with positive findings, 8/13 (61.5%) were in the BRCA1/2 genes, whereas 5/13 (38.4%) were in other high- or moderate-risk genes including PALB2, TP53, ATM and CHEK2. NGS genetic testing showed that 6/13 (46.1%) of the PVs observed in BC patients were detected in triple-negative BC. Interestingly, the likelihood of carrying the PVs in the moderate-to-high-risk genes calculated by the cancer risk model BOADICEA was significantly higher in pathogenic variant carriers than in negative subjects. Collectively, this study shows that multigene panel testing can offer an effective diagnostic approach for patients at high risk of hereditary cancers.
X-ray observations of the radio galaxy Pictor A

Strong X-ray emission is detected from the active nucleus of an emission- line radio galaxy Pictor A, during observations with the EXOSAT observatory. The nuclear X-ray emission is observed to be steady on time- scales of a few minutes to a few hours. The X-ray spectrum is adequately explained by a simple power law with the photon index {GAMMA}=1.8±0.3 (90 per cent confidence), similar to that observed from various Seyfert galaxies. There is no evidence for any significant absorption local to the source, nor is there any evidence for a separate soft X-ray component. There is evidence for the presence of a line feature centred between 6 and 8 ke V in the X-ray spectrum. The observations support the presence of a large amount of matter in non-spherical geometry around the nuclear source in Pictor A. The line-of-sight to the X-ray source is probably encountering an edge-on matter distribution around the source. No soft X-rays are detected from the highly polarized optical counterpart of the western radio hotspot. Two very weak soft X-ray sources are detected serendipitously within 30 arcmin of the radio galaxy. The analysis of archival X-ray data obtained with the Einstein observatory gives spectral index and flux consistent with the results obtained from the EXOSAT observatory. The far-IR fluxes from Pictor A have also been obtained from the IRAS observations and the broad-band multiwavelength spectrum of Pictor A is shown.
Sparse Variational Gaussian Process with Dynamic Kernel for Electricity Demand Forecasting

A maximized accuracy and minimized prediction interval (PI) are desirable features of a forecast model. Especially, energy companies utilize these attributes to efficiently manage power systems, maintain grid stability and maximize their profit gain. In this paper, we focus on the short-term demand forecast, based on the Sparse Variational Gaussian Process (SVGP). We, first, propose a dynamic kernel selection algorithm that simplify the search for a valid covariance matrix. Then, we investigate the dependence of accuracy and PI based on the size of training data and inducing variables used for approximation. The overall model performance is evaluated using prediction interval coverage probability (PICP) and mean prediction interval width (MPIW). In addition to that, we conducted a model evaluation studies on SVGP and long short-term memory (LSTM) model based on these metrics. The results show the proposed algorithm provides a valid kernel to data that exhibit a known and unknown patterns. The simulations reveal SVGP achieves higher prediction accuracy and minimized PI than LSTM. However, the SVGP model suffers from the curse of generalization. The variational inference applied When building SVGP ultimately ignores rare moments that happen periodically. Their forecast is approximated or lumped as similar With the most frequent moments. Finally, utilizing SVGP and aggregated LSTM models, we demonstrated the degree of compromise one could make with respect to the selection of a predictive model, size of training data and inducing variables to achieve the same level of forecast accuracy and minimized PI.
Fluctuations in children’s self-regulation and parent-child interaction in everyday life: An ambulatory assessment study

Self-regulation has mostly been studied as an intrapersonal trait which fluctuates across time and impacts everyday behavior related to individual goal pursuit and achievement. Although it is plausible that self-regulation affects not only individuals but also their social network, there is less research on how self-regulation levels and fluctuations are linked to social processes in daily life, such as interactions between children and their parents. To this end, this study tracked children’s (aged 9 to 11 years; N = 70) self-regulation, and their daily interaction quality with parents, across 54 days, using child and parental self-reports. Participants reported higher interaction quality in dyads in which children showed higher self-regulation levels in comparison to others, as well as on days on which children showed higher self-regulation compared to their typical levels. The extent of this association varied between dyads, which needs to be addressed in future studies. As self-regulation and parent-child interaction quality fluctuate in parallel, this study suggests that researchers should aim to understand the underlying mechanisms in order to develop dynamic self-regulation interventions in family contexts and improve family well-being.