Miracle-dz/UniFAR-FTUs huggingface dataset:
Another Side of Balinese Excoticism Local Wisdom of the Muslim Community in Gelgel Village, Klungkung Regency, for Preserving Harmony between Religious Communities in Bali

Bali is one of the most popular destinations chosen by foreign tourists for their visits to Indonesia. Accordingly, Bali often is the primary basis by which foreigners assess the entire nation. Tourist attention is drawn to Bali’s natural beauty and its cultural exoticism. They show various perspectives on Balinese religious and cultural life, those that are generally closely related to Hinduism and tourism. Through qualitative approach, this study aims to analysis the religious life of the Muslim communities in Bali for completing the various viewpoints while revealing another side of Balinese exoticism. The Gelgel village of Klungkung regency is a longestablished village inhabited by Muslims in the midst of strong influences of Hinduism. This village is of interest as the oldest Muslim village in Bali to be accorded designation as a banjar dinas, and even while having a slim territory. Notably, the people in the village are generally able to live peaceably side-by-side with adherents of other religions. This is enabled through local wisdoms that have allowed and encouraged harmony withcastle, temple, and Balinese customs.
Peningkatan Efisiensi Termal Tungku Biomasa untuk Proses Pengeringan Biji Kakao di Desa Wiyono Kabupaten Pesawaran Propinsi Lampung

Abstract — The modification stove was designed and constructed for drying cocoa beans using biomassa as fuel. The purpose of the modification stove is to increase production of 0.6 tonnes dry cocoa beans. The thermal efficiency of the stove is determined and compared with a conventional stove using hevea brasiliensis woods as fuel. The inside wall of stove and oven were built from SK34 fire brick and ceramic paper, respectively. The outer walls were made from red brick and was coated by cement. The results show that the thermal efficiency of the modification stove is increased by 37.34% compared with the conventional stove. The fuel consumption decreases by 25 % (25 kg-product), resulting a fuel cost saving of Rp. 1.8 million/year. In addition, the total cost of the stove can be paid back in a period of 3.5 years with the service lifetime of the stove for 10 years. The moisture contents ratio of cocoa beans with drying time are obtained to predict values of diffusivity (De) over range of drying temperature 50-80 °C. the values of diffusivity obtained ranged from 62.03 × 10−10 sampai 4.55 × 10−10 m2/s for the temperature used. Keywords — biomass stove, cocoa been, thermal efficiency, efective diffusity
Designing a Topical Nanoliposomal Formulation of Ruxolitinib Phosphate

Background: The JAK-STAT pathway has been revealed to play a crucial role in the dysregulation of immune responses in autoimmune skin disorders. Ruxolitinib, a selective inhibitor of JAK1 and JAK2, potently suppresses cytokine signaling. Methods: A topical emulgel containing ruxolitinib nanoliposome (RuxoLip) was prepared by thin film hydration method. Then, its physicochemical characteristics were evaluated at 25±2 ̊C/60±5% RH for 12 months. RuxoLip was assessed based on particle characteristics, Scanning Electron Microscopy (SEM), entrapment efficiency (EE), drug loading (DL), and Differential Scanning Calorimetry (DSC). The pH, density, viscosity, microbial assessment, in vitro drug release, and in vivo tape stripping test were evaluated on the emulgel of RuxoLip. Validating the analysis method was performed by UV spectroscopy. Results: Nanoliposomal preparation was successfully formulated with a good particle size (218±2 nm), an EE of 67% and a DL of 8%. The formulation was stable in a long-term condition. SEM showed that liposomes had a regular spherical surface. Moreover, in vitro drug release and the in vivo tape stripping test revealed good absorption and permeation, respectively. Conclusion: The liposome dosage form is anticipated to be a perfect carrier for the topical drug delivery system of ruxolitinib in autoimmune skin disorders.
Algebraizability of the Logic of Quasi-N4-Lattices

The class of quasi-N4-lattices (QN4-lattices) was introduced as a common generalization of quasi-Nelson algebras and N4-lattices, in such a way that N4-lattices are precisely the QN4-lattices satisfying the double negation law (~~x = x) and quasi-Nelson algebras are the QN4-lattices satisfying the explosive law (x ^ ~x) ->y = ((x ^ ~x) ->y) ->((x ^ ~x) ->y). In this paper we introduce, via a Hilbert-style presentation, a logic (L_QN4) whose algebraic semantics is a class of algebras that we show to be term-equivalent to QN4-lattices. The result is obtained by showing that the calculus introduced by us is algebraizable in the sense of Blok and Pigozzi, and its equivalent algebraic semantics is term-equivalent to the class of QN4-lattices. As a prospect for future investigation, we consider the question of how one could place L_QN4 within the family of relevance logics.
A Novel Approach to Enhance the Regenerative Potential of Circulating Endothelial Progenitor Cells in Patients with End-Stage Kidney Disease

Circulating bone marrow-derived endothelial progenitor cells (EPCs) facilitate vascular repair in several organs including the kidney but are progressively diminished in end-stage kidney disease (ESKD) patients, which correlates with cardiovascular outcomes and related mortality. We thus determined if enhancing the tissue-reparative effects of human bone marrow-derived mesenchymal stromal cells (BM-MSCs) with the vasculogenic effects of recombinant human relaxin (RLX) could promote EPC proliferation and function. CD34+ EPCs were isolated from the blood of healthy and ESKD patients, cultured until late EPCs had formed, then stimulated with BM-MSC-derived condition media (CM; 25%), RLX (1 or 10 ng/mL), or both treatments combined. Whilst RLX alone stimulated EPC proliferation, capillary tube formation and wound healing in vitro, these measures were more rapidly and markedly enhanced by the combined effects of BM-MSC-derived CM and RLX in EPCs derived from both healthy and ESKD patients. These findings have important clinical implications, having identified a novel combination therapy that can restore and enhance EPC number and function in ESKD patients.
Occupant sensing in buildings : methods for occupant number, location and activity

Since buildings account for some 40% of total energy usage in the world, great attentions have been paid on energy efficient buildings. To achieve this objective, occupant sensing is a key factor, which includes knowing the number of occupants, their locations and their performed activities in buildings. In this dissertation, we attempt to give solutions to the three corresponding questions of occupant sensing: How many occupants are there in a zone? Where are they located? What are they doing? Occupancy, i.e. the number of occupants, is a coarse information for the control of energy efficient buildings. We develop novel inhomogeneous Markov chain models which utilize the incremental information of occupancy for building occupancy modeling under two scenarios of multi-occupant single-zone (MOSZ) and multi-occupant multi-zone (MOMZ). In this way, we can dramatically simplify the calculation of model parameters, i.e. transition probability matrices. The proposed models have been evaluated using actual occupancy data. After that, we explore the more valuable information of real-time occupancy estimation that can be used for real-time building environment control. Since occupancy models can provide the information of occupancy pattern, we present a fusion framework of combining occupancy models with data-driven models for occupancy estimation using environmental parameters. Real experiments showed the effectiveness of the proposed approach. For some applications, such as smart scheduling, pre-heating and pre-cooling, they require the knowledge of occupancy level in future, known as occupancy prediction. We compare the prediction performance of existing occupancy models with some popular linear and non-linear data mining approaches. The experimental results allow us to deduce a guideline on how to choose a proper method for the prediction of occupancy in buildings under different prediction horizons. One of the detailed aspects in occupant sensing is the locations of occupants in buildings. Outdoor localization can be resolved using GPS (Global Positioning iii
Towards Human-uav Physical Interaction and Fully Actuated Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) ability to reach places not accessible to humans or other robots and execute tasks makes them unique and is gaining a lot of research interest recently. Initially UAVs were used as surveying and data collection systems, but lately UAVs are also efficiently employed in aerial manipulation and interaction tasks. In recent times, UAV interaction with the environment has become a common scenario, where manipulators are mounted on top of such systems. Current applications has driven towards the direction of UAVs and humans coexisting and sharing the same workspace, leading to the emerging futuristic domain of Human-UAV physical interaction. In this dissertation, initially we addressed the delicate problem of external wrench estimation (force/torque) in aerial vehicles through a generalized-momenta based residual approach. To our advantage, this approach is executable during flight without any additional sensors. Thereafter, we proposed a novel architecture allowing humans to physically interact with a UAV through the employment of sensor-ring structure and the developed external wrench estimator. The methodologies and algorithms to distinguish forces and torques derived by physical interaction with a human from the disturbance wrenches (due to e.g., wind) are defined through an optimization problem. Furthermore, an admittance-impedance control strategy is employed to act on them differently. This new hardware/software architecture allows for the safe human-UAV physical interaction through exchange of forces. But at the same time, other limitations such as the inability to exchange torques due to the underactuation of quadrotors and the need for a robust controller become evident. In order to improve the robust performance of the UAV, we implemented an adaptive super twisting sliding mode controller that works efficiently against parameter uncertainties, unknown dynamics and external perturbations. Furthermore, we proposed and designed a novel fully actuated tilted propeller hexarotor UAV. We designed the exact feedback linearization controller and also optimized the tilt angles in order to minimize power consumption, thereby improving the flight time. This fully actuated hexarotor could reorient while hovering and perform 6DoF (Degrees of Freedom) trajectory tracking. Finally we put together the external wrench observer, interaction techniques, hardware design, software framework, the robust controller and the different methodologies into the novel development of Human-UAV physical interaction with fully actuated UAV. As this framework allows humans and UAVs to exchange forces as well as torques, we believe it will become the next generation platform for the aerial manipulation and human physical interaction with UAVs.
Development and Evolution of DNA-Dependent Protein Kinase Inhibitors toward Cancer Therapy

DNA double-strand break (DSB) is considered the most deleterious type of DNA damage, which is generated by ionizing radiation (IR) and a subset of anticancer drugs. DNA-dependent protein kinase (DNA-PK), which is composed of a DNA-PK catalytic subunit (DNA-PKcs) and Ku80-Ku70 heterodimer, acts as the molecular sensor for DSB and plays a pivotal role in DSB repair through non-homologous end joining (NHEJ). Cells deficient for DNA-PKcs show hypersensitivity to IR and several DNA-damaging agents. Cellular sensitivity to IR and DNA-damaging agents can be augmented by the inhibition of DNA-PK. A number of small molecules that inhibit DNA-PK have been developed. Here, the development and evolution of inhibitors targeting DNA-PK for cancer therapy is reviewed. Significant parts of the inhibitors were developed based on the structural similarity of DNA-PK to phosphatidylinositol 3-kinases (PI3Ks) and PI3K-related kinases (PIKKs), including Ataxia-telangiectasia mutated (ATM). Some of DNA-PK inhibitors, e.g., NU7026 and NU7441, have been used extensively in the studies for cellular function of DNA-PK. Recently developed inhibitors, e.g., M3814 and AZD7648, are in clinical trials and on the way to be utilized in cancer therapy in combination with radiotherapy and chemotherapy.
Increased Production of Interleukin-10 and Tumor Necrosis Factor-Alpha in Stimulated Peripheral Blood Mononuclear Cells after Inhibition of S100A12

Sepsis may induce immunosuppression and result in death. S100A12 can bind to the receptor for advanced glycation end-products (RAGE) and Toll-like receptor (TLR)4 following induction of various inflammatory responses. It is unclear whether S100A12 significantly influences the immune system, which may be associated with sepsis-related mortality. We measured plasma S100A12 levels and cytokine responses (mean ± standard error mean) of lipopolysaccharide (LPS)-stimulated peripheral blood mononuclear cells (PBMCs) after S100A12 inhibition in healthy controls and patients with sepsis on days one and seven. Day one plasma soluble RAGE (sRAGE) and S100A12 levels in patients with sepsis were significantly higher than those in controls (2481.3 ± 295.0 vs. 1273.0 ± 108.2 pg/mL, p < 0.001; 530.3 ± 18.2 vs. 310.1 ± 28.1 pg/mL, p < 0.001, respectively). Day seven plasma S100A12 levels in non-survivors were significantly higher than those in survivors (593.1 ± 12.7 vs. 499.3 ± 23.8 pg/mL, p = 0.002, respectively). In survivors, plasma sRAGE levels were significantly decreased after 6 days (2297.3 ± 320.3 vs. 1530.1 ± 219.1 pg/mL, p = 0.009, respectively), but not in non-survivors. Inhibiting S100A12 increased the production of tumor necrosis factor (TNF)-α and interleukin (IL)-10 in stimulated PBMCs for both controls and patients. Therefore, S100A12 plays an important role in sepsis pathogenesis. S100A12 may competitively bind to TLR4 and RAGE, resulting in decreased IL-10 and TNF-α production.
A Foucauldian Analysis of the Romanian School of Gymnastics as a Superpower Between 1976-1981: What Securitatea Knew About Bela Karolyi’s Method

During the Cold War, the Romanian school of gymnastics represented a superpower in the world of WAG and became a part of Romania’s international politics strategy. This ascension started under the supervision of Bela Karolyi, the coach of the Romanian team between 1972 −1981. Bela Karolyi represented the type of coach who used tactics to produce performance. Forced by Securitatea surveillance, the political police of the communist government, Bela Karolyi had to constantly adapt the technologies of power to have the best tactics to win. By using the hierarchical power of communist government against the Romanian Gymnastics Federation, Bela Karolyi was able to build his tactics until the moment it ran against the government strategy. Forced to defect to the other side of the Iron Curtain, Bela Karolyi continued to improve his technologies of power and tactics that transformed the United States WAG team in a superpower.
SAR data and field surveys combination to update rainfall-induced shallow landslides inventory

The Campania region has been recurrently hit by severe landslides in volcanoclastic deposits. The city of Naples, and in particular the Camaldoli and Agnano hills, also suffered several landslide crises in weathered volcanoclastic rocks as a consequence of intense rainfalls or wildfires. This work provides an updated landslide database for the suburbs of Naples. The obtained database consists of about 1322 landslides considering available information dated back to 1816, identified thanks to the historical newspaper's examination; 62 landslides were recorded between 2019 and 2020. Furthermore, the achieved database is the result of the standardization of available information from different sources, organized in a completely different way. The newly identified phenomena have been recognized thanks to a combination of optical satellite imagery with Google Earth, Sentinel-1 radar satellite imagery and field investigation. The implemented methodology is based on change detection analysis of satellite imagery by using polarimetric features. Subsequently, output derived from the segmentation procedure of satellite images have been compared with field trip observations. The main purpose of this procedure is to emphasize areas where land cover changes, potentially related to slope failures, occur in the Phegraean Fields, facilitating the following possible phases of mapping and/or field survey. Eventually, this type of information is expected to help decision-makers with land planning and risk assessment.
Culture models produced via biomanufacturing for neural tissue-like constructs based on primary neural and neural stem cells

Neural tissue-like constructs have important application potential in both neural tissue regeneration and individual medical treatment due to the ideal bioenvironment they provide for the growth of primary and stem cells. The biomaterials used in three-dimensional (3D) biomanufacturing techniques play a critical role in bioenvironment fabrication. They help optimize the manufacturing techniques and the long-term environment that supports cell structure and nutrient transmission. This paper reviews the current progress being made in the biomaterials utilized in neural cell cultures for in vitro bioenvironment construction. The following four requirements for biomaterials are evaluated: biocompatibility, porosity, supportability, and permeability. This study also summarizes the recent culture models based on primary neural cells. Furthermore, the biomaterials used for neural stem cell constructs are discussed. This study’s results indicate that compared with traditional two-dimensional (2D) cultures (with minimal biomaterial requirements), modulus 3D cultures greatly benefit from optimized biomaterials for long-term culturing.
A framework and case study to systematically identify long‐term insect abundance and diversity datasets

Biodiversity is in crisis, and insects are no exception. To understand insect population and community trends globally, it is necessary to identify and synthesize diverse datasets representing different taxa, regions, and habitats. The relevant literature is, however, vast and challenging to aggregate. The Entomological Global Evidence Map (EntoGEM) project is a systematic effort to search for and catalogue studies with long‐term data that can be used to understand changes in insect abundance and diversity. Here, we present the overall EntoGEM framework and results of the first completed subproject of the systematic map, which compiled sources of information about changes in dragonfly and damselfly (Odonata) occurrence, abundance, biomass, distribution, and diversity. We identified 45 multi‐year odonate datasets, including 10 studies with data that span more than 10 years. If data from each study could be gathered or extracted, these studies could contribute to analyses of long‐term population trends of this important group of indicator insects. The methods developed to support the EntoGEM project, and its framework for synthesizing a vast literature, have the potential to be applied not only to other broad topics in ecology and conservation, but also to other areas of research where data are widely distributed.
Examining Relationships Between Groundwater Nitrate Concentrations in Drinking Water and Landscape Characteristics to Understand Health Risks

Nitrate ingested from drinking water has been linked to adverse health outcomes (e.g., cancer, birth defects) at levels as low as ∼2 mg/L NO3‐N, far below the regulatory limits of 10 mg/L. In many areas, groundwater is a common drinking water source and may contain elevated nitrate, but limited data on the patterns and concentrations are available. Using an extensive regulatory data set of over 100,000 nitrate drinking water well samples, we developed new maps of groundwater nitrate concentrations from 76,724 wells in Michigan's Lower Peninsula, USA for the 2006–2015 period. Kriging, a geostatistical method, was used to interpolate concentrations and quantify probability of exceeding relevant thresholds (>0.4 [common detection limit], >2 mg/L NO3‐N). We summarized this probability in small watersheds (∼80 km2) to identify correlated variables using the machine learning method classification and regression trees (CARTs). We found 79% of wells had concentrations below the detection limit in this analysis (<0.4 mg/L NO3‐N). In the shallow aquifer (focus of study), 13% of wells exceeded 2 mg/L NO3‐N and 2% exceeded the EPA maximum contaminant level of 10 mg/L. CART explained 40%–45% of variation in each model and identified three categories of critical correlated variables: source (high agricultural nitrogen inputs), vulnerable soil conditions (low soil organic carbon and high hydraulic conductivity), and transport mechanisms (high aquifer recharge). These findings add to the body of literature seeking to identify communities at risk of elevated nitrate and study associated adverse health outcomes.
Proteinuria in Deceased Kidney Transplant Donors for Prediction of Chronic Lesions in Pretransplant Biopsies: A Prospective Observational Study

Background. Pretransplant kidney graft biopsies have been suggested for organ quality assessment. Data on the association between donor proteinuria and organ quality of deceased donors are not available. Methods. In this prospective study, we analyzed 147 pretransplant kidney biopsies from 88 deceased adult donors procured and transplanted consecutively at the Medical University Vienna between July 2017 and May 2020. Lesions in each renal compartment were scored from 0 to 5 with each ascending score representing a 20% increase in organ damage. A chronic lesions score was calculated including glomerulosclerosis, intima fibrosis, hyalinosis, interstitial fibrosis, and tubular atrophy. Results. The median chronic lesion score was 2 (interquartile range [IQR] 1–4) and the median donor urinary protein to creatinine ratio (UPCR) was 382 mg/dL (IQR 222–703). There was a positive correlation between UPCR and number of chronic lesions (β 0.15, 95% confidence interval, 0.03-0.28; P = 0.019). Biopsies with 2 or more lesions had a median UPCR of 486 mg/dL (IQR 251–717) compared with 274 mg/dL (IQR 211–556; P = 0.016) in biopsies with <2 lesions. The risk for detection of 2 or more lesions rose by 18% for every log increase in UPCR (risk ratio 1.18, 95% confidence interval, 1.03-1.25; P = 0.017). Multivariable and sensitivity analysis revealed an independent and robust association between chronic lesions and UPCR. Conclusions. Donor UPCR is associated with chronic lesions in pretransplant deceased donor kidney graft biopsies. This finding justifies further investigation of donor proteinuria for the assessment of organ quality and outcome.
A Review of Convolutional Neural Network Development in Computer Vision

Convolutional neural networks have made admirable progress in computer vision. As a fast-growing computer field, CNNs are one of the classical and widely used network structures. The Internet of Things (IoT) has gotten a lot of attention in recent years. This has directly led to the vigorous development of AI technology, such as the intelligent luggage security inspection system developed by the IoT, intelligent fire alarm system, driverless car, drone technology, and other cutting-edge directions. This paper first outlines the structure of CNNs, including the convolutional layer, the downsampling layer, and the fully connected layer, all of which play an important role. Then some different modules of classical networks are described, and these modules are rapidly driving the development of CNNs. And then the current state of CNNs research in image classification, object segmentation, and object detection is discussed.