Miracle-dz/UniFAR-FTUs huggingface dataset:
Tourism Masterplan of Senduro District in Lumajang Regency

Senduro District is one of the potential destinations for tourism in Indonesia, located in Lumajang Regency, East Java. As a destination that stores various potential attractions, especially for nature tourism, this district requires a master plan to guide the development, marketing, and various other aspects. This district also has an area that is included in the protected area of Bromo Tengger Semeru National Park and is also included in disaster-prone areas, especially the eruption of Mount Bromo and Semeru. Keywords—nature tourism; master plan; regional planning; tourism; resort
Continuous glucose monitoring for automatic real-time assessment of eating events and nutrition: a scoping review

Background Accurate dietary assessment remains a challenge, particularly in free-living settings. Continuous glucose monitoring (CGM) shows promise in optimizing the assessment and monitoring of ingestive activity (IA, i.e., consumption of calorie-containing foods/beverages), and it might enable administering dietary Just-In-Time Adaptive Interventions (JITAIs). Objective In a scoping review, we aimed to answer the following questions: (1) Which CGM approaches to automatically detect IA in (near-)real-time have been investigated? (2) How accurate are these approaches? (3) Can they be used in the context of JITAIs? Methods We systematically searched four databases until October 2023 and included publications in English or German that used CGM-based approaches for human (all ages) IA detection. Eligible publications included a ground-truth method as a comparator. We synthesized the evidence qualitatively and critically appraised publication quality. Results Of 1,561 potentially relevant publications identified, 19 publications (17 studies, total N = 311; for 2 studies, 2 publications each were relevant) were included. Most publications included individuals with diabetes, often using meal announcements and/or insulin boluses accompanying meals. Inpatient and free-living settings were used. CGM-only approaches and CGM combined with additional inputs were deployed. A broad range of algorithms was tested. Performance varied among the reviewed methods, ranging from unsatisfactory to excellent (e.g., 21% vs. 100% sensitivity). Detection times ranged from 9.0 to 45.0 min. Conclusion Several CGM-based approaches are promising for automatically detecting IA. However, response times need to be faster to enable JITAIs aimed at impacting acute IA. Methodological issues and overall heterogeneity among articles prevent recommending one single approach; specific cases will dictate the most suitable approach.
Using science as a differentiator in a crowded digital mental health market

The digital mental health industry has seen remarkable growth in recent years. However, within this crowded landscape, many companies overlook a critical factor for gaining a competitive edge: the integration of science. In this context, “science” refers to the strategic collection and analysis of information (i.e., data) at digital mental health companies, aimed at guiding business decisions and achieving business objectives. This paper demonstrates that science is integral, yet underutilized in the digital mental health industry, with common misconceptions about its role. When science is integrated within a company, it enables them to (1) innovate, (2) understand customers, (3) make informed decisions, and (4) drive revenue. Digital mental health companies recognizing the multifaceted value of science may be better equipped for sustainable growth and success amid the crowded digital health market.
Sentiment Analysis Comments Covid-19 Variant Omicron on Social Media Instagram with Bidirectional Encoder from Transformers (BERT)

Internet merupakan alat komunikasi yang banyak diminati karena pesatnya perkembangan teknologi dan informasi beberapa tahun belakangan ini. Ini adalah konteks untuk memodernisasi dan sepenuhnya mendigitalkan komunikasi. Salah satu perubahan dalam komunikasi digital adalah media sosial, platform digital yang memungkinkan orang berbicara satu sama lain, berbagi informasi, dan lainnya. Pada platform media sosial ini, yang dirancang untuk mendapatkan masukan inti dari pengguna atau konsumen secara efisien, komentar dapat digunakan untuk mengumpulkan opini dari pengguna. Instagram adalah salah satu platform media sosial paling populer saat ini, dan banyak penggunanya menggunakannya untuk menyuarakan pendapat (komentar) mereka tentang pandemi Covid-19. Menggunakan metode Bidirectional Encoder from Transformers (BERT), komentar masyarakat nantinya dapat diklasifikasikan menjadi sentimen positif, negatif, dan netral. Analisis sentimen mengungkapkan bagaimana perasaan orang tentang varian Omicron pandemi Covid-19. Prosedur scraping menghasilkan 1.052 data yang terdiri dari 663 komentar negatif, 388 komentar netral, dan 1 komentar positif. Hasil tes memiliki akurasi sebesar 0,632 (63%).
Optimal Component Maintenance Scheduling Based on Non-Parametric Piecewise Hazard Rate Function

The degradation of components in the industry is a natural phenomenon resulting from various operating conditions. Therefore, it is crucial to develop models and strategies to anticipate failure events. Reliability-centred maintenance has been widely used and has proven to be effective. However, the reliability function alone does not provide information on how quickly a component will reach a critical level of degradation. For this reason, our work proposes the use of a piecewise, non-parametric hazard rate function (HRF) for more informed scheduling of maintenance actions, considering the possibility of imperfect maintenance actions. Specifically, the piecewise mean time between failures MTBF is used to estimate the maintenance period over the life cycle of a component. The component failure behaviour is modelled using the kernel density estimation (KDE) approach, which is a non-parametric method. The KDE is used to estimate both the reliability function and the piecewise HRF. A simulation analysis is performed using a component with historical failure data in terms of working cycles. Preventive and corrective maintenance costs are projected, taking into account the maintenance period estimated from the MTBF in sections. Our methodology seeks to improve the efficiency and effectiveness of maintenance actions by considering the degradation behaviour of the component and providing an optimal schedule based on the piecewise HRF and the estimated maintenance period.
Implication of the Geographical Axis for international scale language research

The research of the article is based on theories that analyse the links between geography and linguistics. A core theory in the analysis is Diamond's (1999, Chapter 7) idea of the different population histories of continental areas, Güldemann (2008, 2010) speculatively proposed that macro-areal aggregations of linguistic features might be influenced by large-scale geographical factors. In line with Diamond’s geographical axis hypothesis, it is assumed that the way linguistic features assemble periods time spans and large geographical space is determined among other things by two factors which potentially are the “latitude spread potential” and the “longitude spread the constraint. ” This paper reports on first results of evaluating this concerning the first factor, we argue that contact-induced feature distributions as well as genealogically defined language groups that have a sufficient geographical extension tend to have a latitudinal orientation. Regarding the second factor, provide the first results suggesting that linguistic diversity within language families tends to be higher along the longitude axis. If these findings can be replicated by more extensive and diverse testing, they promise to become important ingredients for a comprehensive theory of human history across space and time within linguistics and beyond.
SiC MOSFET Driver Circuit Design for SAR Satellite Power Systems

With the increasing power demand of SAR satellite loads, the requirements for the power system have become more stringent. In the power system of SAR satellites, the use of SiC MOSFETs instead of Si MOSFETs as the switching devices of the power conversion circuit can effectively improve the conversion efficiency and power density. Therefore, the study of SiC MOSFET driver circuit is of great significance for optimizing the power system of SAR satellites. In this paper, a gate driver circuit suitable for the power system of SAR satellites is designed based on the characteristics of SiC MOSFET with isolation and high-speed switching characteristics, and each module in the circuit is analyzed in detail. In addition, this paper constructed a buck/boost circuit and studied the effect of the circuit efficiency under different circumstances by adjusting the output power in the circuit. The experimental results show that the driver circuit is capable of realizing the fast switching of SiC MOSFET with low switching loss, which is suitable for the high-frequency circuits applied in the SAR satellite power system. Meanwhile, the oscillation suppression circuit in the circuit also improves the stability of the SiC MOSFET driver.
Design and Control of a Multi-Locomotion Parallel-Legged Bipedal Robot

This article mainly introduces a dynamically stabilized and balanced point-footed bipedal robot, which we named MPLBR (Multi-locomotion Parallel-Legged Bipedal Robot). The robot structure is designed with a symmetric architecture, including six motors and a five-link double crank mechanism for extending the legs. Based on the inverted pendulum model, a robot control process framework is proposed using the virtual model control (VMC) algorithm and the decoupling balance control algorithm, combined with robot gait planning and state detection, to achieve stable walking and hopping control of the robot. Through simulation experiments and physical prototype experiments to verify the algorithm, the robot can achieve stable walking control and bounce motion modes.
Refraction Effect in SAR Processing for Focused Subsurface Tomography

In synthetic aperture radar (SAR) imaging, the goal of subsurface tomography is to create detailed images of objects and structures underground. In order to obtain well-focused images, the refraction effect must be taken into account during SAR processing. This work proposes an adjusted back-projection algorithm and validates it with simulation and experimental results. The simulation model constitutes an underground air cavity and a multi-circular flight path. The experimental scenario includes a buried quad-corner reflector and an unmanned aerial vehicle (UAV) performing a spiral flight path. Both cases produced well-focused 3D images with the correct positioning of the targets.
Mastitis impact on high-yielding dairy farm’s reproduction and net present value

Poor udder health can have a negative impact on milk production and reproductive performance, which reduces the net present value (NPV) of dairy farms. The aim of this study is therefore to investigate the relationship between clinical mastitis and NPV and the financial impact of impaired reproductive function. For this purpose, 473 dairy cows were included in our study, 146 cows with clinical mastitis (CM group) and 327 clinically healthy cows (CH group) from a high-yielding dairy farm in Romania, milking approximately 780 dairy cows with an average milk production of 46 kg milk/day. We found that, in contrast to CH cows, CM cows had a significantly lower conception rate at first service (58.2% vs. 41.7%, p < 0.05), third service (45.3% vs. 30.2%, p < 0.05), and total services (49.2% vs. 36.4%, p < 0.05). However, this positive effect was not observed for the average days open, which were significantly lower in CM cows than in CH cows (112 ± 4.3 days vs. 142 ± 3.1 days, p < 0.05). The fact that the non-pregnant CH cows had higher somatic cell counts (>400,000 SCC/mL) in their milk around artificial insemination (AI) and 1 month earlier than the pregnant cows (<250,000 SCC/ml) supports the idea that poor uterine health affects the reproductive activity of high-yielding cows. However, by using the UW-DairyRepro$ decision support tool, we found that despite the impairment of reproductive function in dairy cows, the largest negative impacts on NPV are still the cost of milk loss (US$14,439.4/farm/year) and treatment costs (US$4,380/farm/year). We considered the costs associated with poor reproductive function in the CM group (US$3,577/farm/year) as an additional cost of mastitis. Finally, it appears that the impact of mastitis on reproduction is associated with a lower chance of conception than it is with a daily risk of services.
Computational components of visual predictive coding circuitry

If a full visual percept can be said to be a ‘hypothesis’, so too can a neural ‘prediction’ – although the latter addresses one particular component of image content (such as 3-dimensional organisation, the interplay between lighting and surface colour, the future trajectory of moving objects, and so on). And, because processing is hierarchical, predictions generated at one level are conveyed in a backward direction to a lower level, seeking to predict, in fact, the neural activity at that prior stage of processing, and learning from errors signalled in the opposite direction. This is the essence of ‘predictive coding’, at once an algorithm for information processing and a theoretical basis for the nature of operations performed by the cerebral cortex. Neural models for the implementation of predictive coding invoke specific functional classes of neuron for generating, transmitting and receiving predictions, and for producing reciprocal error signals. Also a third general class, ‘precision’ neurons, tasked with regulating the magnitude of error signals contingent upon the confidence placed upon the prediction, i.e., the reliability and behavioural utility of the sensory data that it predicts. So, what is the ultimate source of a ‘prediction’? The answer is multifactorial: knowledge of the current environmental context and the immediate past, allied to memory and lifetime experience of the way of the world, doubtless fine-tuned by evolutionary history too. There are, in consequence, numerous potential avenues for experimenters seeking to manipulate subjects’ expectation, and examine the neural signals elicited by surprising, and less surprising visual stimuli. This review focuses upon the predictive physiology of mouse and monkey visual cortex, summarising and commenting on evidence to date, and placing it in the context of the broader field. It is concluded that predictive coding has a firm grounding in basic neuroscience and that, unsurprisingly, there remains much to learn.
Chimeric antigen receptor (CAR)-T cell therapy in triple-negative breast cancer: current status and future perspectives

Triple-negative breast cancer (TNBC) is the hardest to treat and the most aggressive form of breast cancer. Surgery, radiotherapy, and systemic chemotherapy are currently available, but deficiencies exist, including drug resistance and high frequency of recurrence. The absence of estrogen receptor (ER), progesterone receptor (PR), and HER2 makes conventional targeted therapies unsuitable for TNBC. The immunogenicity of TNBC emphasizes the urgency of introducing chimeric antigen receptor (CAR)-T cell therapy. The success of CAR-T therapy in the management of blood cancers suggests its feasibility. CAR-T therapy is achieved by editing the patient's autologous T cells to attack malignant cells. Currently, more and more CAR-T therapies targeting TNBC are being proposed and researched. In particular, different types of potentially tumor-associated antigens (TAA) offer promising directions. However, many obstacles require overcoming, especially physical or chemical ones in solid tumors. This paper reviews the TAAs currently under study, including their rationale and problems. In addition, the advantages of CAR-T therapies over other TNBC therapies and the current impediments and solutions are discussed to provide an overall view of the latest advances and to stimulate other ideas.
Early fecal microbiota transplantation from high abdominal fat chickens affects recipient cecal microbiome and metabolism

Abdominal fat deposition (AFD) in chickens is closely related to the gut microecological balance. In this study, the gut microbiota from high-AFD chickens was transplanted into the same strain of 0-day-old chicks via fecal microbiota transplantation (FMT). The FTM from chickens with high AFD had no obvious effects on growth traits, adult body weight, carcass weight, abdominal fat weight, and abdominal fat percentage, but did reduce the coefficient of variation of AFD traits. FMT significantly decreased cecal microbiome richness, changed the microbiota structure, and regulated the biological functions associated with energy metabolism and fat synthesis. Additionally, the cecal metabolite composition and metabolic function of FMT recipient chickens were also significantly altered from those of the controls. Transplantation of high-AFD chicken gut microbiota promoted fatty acid elongation and biosynthesis and reduced the metabolism of vitamins, steroids, and carbohydrates in the cecum. These findings provide insights into the mechanisms by which chicken gut microbiota affect host metabolic profiles and fat deposition.
Poultry waste management in Nigeria: a neglected sector

The recent surge in poultry production has led to an increase in poultry waste production. Waste from poultry production often includes hatchery waste, dead birds, condemned carcasses, and manure. Manure is normally applied to agricultural soils as a source of fertilizer. Excessive production of waste from poultry farms and its improper disposal has led to air pollution and contamination of agricultural farmlands and eventually surface and water groundwater pollution and this has become a major public health concern to the society. Improper disposal of poultry waste affects poultry farmers, individuals residing close to the farms, and the environment. Published articles on poultry production and poultry waste management were retrieved from the search engine Google Scholar and were used to summarize the impact of poultry waste as a source of contamination and/or pollution to the environment with associated public health implications on animals and humans. Options for proper disposal and utilization of waste from poultry production are further discussed.
Advances in antigenic vaccines for glioblastoma

Glioblastoma multiforme (GBM) is a particular kind of brain tumor that has been confirmed to be fatal. Despite ongoing research, GBM remains a challenging disease to treat. However, a potential new approach to treating GBM has emerged: immunotherapy. Particularly, tumor vaccines have demonstrated considerable promise in stimulating the host defense mechanism to control tumor cell's progression or even kill it. Tumor vaccines come in three primary varieties: peptide and protein vaccinations, RNA and DNA vaccines and cell vaccines. Each vaccine type has a somewhat different mechanism of action, but they all aim to activate the immune system to attack the tumor. The use of tumor vaccines in clinical studies has typically yielded positive outcomes for the treatment of GBM. While there are still many challenges to overcome, ongoing research and clinical trials are providing hope for patients with this deadly disease. This article reviews the classification, mechanisms, clinical trials of antigenic vaccines and the challenges now faced by the researchers.
Effect of Ascorbic Acid, Activated Charcoal and Dark Incubation on Browning Intensity of Saurauia bracteosa In Vitro Culture

Saurauia bracteosa, also known as Pirdot, is an endemic woody plant of the Actinidiaceae family with medicinal properties. Its population decline in nature has led to a vulnerable status, prompting conservation efforts, such as in vitro culture. Browning poses a significant challenge in the woody plant in vitro culture. Browning inhibitors such as ascorbic acid, activated charcoal and dark incubation can be used to address this issue. This study aims to determine the effect of ascorbic acid, activated charcoal and incubation conditions on browning inhibition of S.bracteosa. The study employed a Completely Randomized Design with 12 treatments on leaf explants, repeated five times. Observations, including the time of browning formation, percentage of browning, intensity of browning and percentage of live explant were carried out for 30 days and analyzed using ANOVA followed by DMRT. The results showed that the addition of activated charcoal in MS media with dark incubation delayed the browning formation time (12.40 DAI) while the adding ascorbic acid in MS media and dark incubation resulted in the lowest browning intensity (0.22). These research findings can serve as a foundational protocol for browning prevention, supporting the successful in vitro conservation of S. bracteosa.
The Pivotal Distinction between Antagonists’ and Agonists’ Binding into Dopamine D4 Receptor—MD and FMO/PIEDA Studies

The dopamine D4 receptor (D4R) is a promising therapeutic target in widespread diseases, and the search for novel agonists and antagonists appears to be clinically relevant. The mechanism of binding to the receptor (R) for antagonists and agonists varies. In the present study, we conducted an in-depth computational study, teasing out key similarities and differences in binding modes, complex dynamics, and binding energies for D4R agonists and antagonists. The dynamic network method was applied to investigate the communication paths between the ligand (L) and G-protein binding site (GBS) of human D4R. Finally, the fragment molecular orbitals with pair interaction energy decomposition analysis (FMO/PIEDA) scheme was used to estimate the binding energies of L–R complexes. We found that a strong salt bridge with D3.32 initiates the inhibition of the dopamine D4 receptor. This interaction also occurs in the binding of agonists, but the change in the receptor conformation to the active state starts with interaction with cysteine C3.36. Such a mechanism may arise in the case of agonists unable to form a hydrogen bond with the serine S5.46, considered, so far, to be crucial in the activation of GPCRs. The energy calculations using the FMO/PIEDA method indicate that antagonists show higher residue occupancy of the receptor binding site than agonists, suggesting they could form relatively more stable complexes. Additionally, antagonists were characterized by repulsive interactions with S5.46 distinguishing them from agonists.
MUDANÇA ORGANIZACIONAL E GESTÃO DOS RECURSOS HUMANOS, OU PORQUE É QUE SE MUDA PARA NÃO MUDAR NADA ORGANIZATIONAL CHANGE AND HUMAN RESOURCES MANAGEMENT, OR WHY DOES ONE CHANGE NOT TO CHANGE

The present paper addresses the relevance and validity of the punctuated equilibrium model proposed by Gersick (1991) to understanding organizational change, and mainly changes associated to human resource management. The application of this organizatio- nal change model makes possible to raise some explanations about why so many organi- zations implementing changes on their human resources management practices do not find corresponding results. Specifically, the analysis points that: (i) many of those changes do not constitute genuine organizational changes, (ii) many of those changes may even promote inertia of organizations, and (iii) that genuine change results only from simulta- neous change at a profound level, which impacts on the basic rules of the organization.