Miracle-dz/UniFAR-FTUs huggingface dataset:
Woody biomass increases across three contrasting land uses in Hurungwe, mid-Zambezi valley, Zimbabwe

Globally, Miombo woodlands store important quantities of carbon, with tree cover and carbon stocks strongly determined by human use. We assessed woodland cover and aboveground carbon (AGC) stocks of miombo along a utilisation gradient on three different land use types, that is, a national park, a buffer zone and a communal area. Woodland cover and carbon stock changes were assessed through mapping of AGC between 2007 and 2017 using Phased Array L-Band Synthetic Aperture Radar observations (ALOS-PALSAR 1 and 2). Woodland cover was higher in the national park and the buffer zone than in the communal area for both 2007 and 2017. In 2007, mean AGC stock was not significantly different (p = 0.05) across all three land use types. However, in 2017, mean AGC was significantly lower (p < 0.001) in the buffer zone and communal area than in the national park. In all three land use types, Miombo woodland cover and mean AGC gains outweighed losses over the 10-year period. AGC gains were significantly higher (p < 0.001) in the national park than in both the buffer zone and the communal area. Results of the study indicate that woodland cover and aboveground carbon increased in all three land use types despite the observed human disturbance over the study period. Both variables recorded a lower increase with elevated utilisation. The study concluded that sustainable resource utilisation is possible without loss of such ecosystem services as carbon sequestration and climate change mitigation.
Edukasi Pencegahan Bullying kepada Siswa SDN 01 Rasau Jaya Kubu Raya

Bullying in children can be classified as abnormal behavior that can affect the mental health of both the perpetrator and the victim. The village of Rasau Jaya I is a thriving transmigration area as a cultural, economic, and social center, including education with varied cultural, cultural, and social impacts. The Community Service Program (PKM) is designed to increase the knowledge of elementary students in grades 3 to 5 of SDN 01 Rasau Jaya in recognizing and preventing bullying in the school environment. This service program provides education using learning media such as posters and leaflets, lectures, question-and-answer discussions, and mini quizzes. The PKM program is conducted in groups, interactively and directly with students. Evaluation and monitoring activities were carried out using questionnaires (pre-test and post-test), which were analyzed descriptively and measured the ability of students to answer the questionnaire. The evaluation results show that there is an increase in the level of knowledge of students in recognizing and preventing bullying at school.
An Appraisal of the Oleocanthal-Rich Extra Virgin Olive Oil (EVOO) and Its Potential Anticancer and Neuroprotective Properties

Dietary consumption of olive oil represents a key pillar of the Mediterranean diet, which has been shown to exert beneficial effects on human health, such as the prevention of chronic non-communicable diseases like cancers and neurodegenerative diseases, among others. These health benefits are partly mediated by the high-quality extra virgin olive oil (EVOO), which is produced mostly in Mediterranean countries and is directly made from olives, the fruit of the olive tree (Olea europaea L.). Preclinical evidence supports the existence of antioxidant and anti-inflammatory properties exerted by the polyphenol oleocanthal, which belongs to the EVOO minor polar compound subclass of secoiridoids (like oleuropein). This narrative review aims to describe the antioxidant and anti-inflammatory properties of oleocanthal, as well as the potential anticancer and neuroprotective actions of this polyphenol. Based on recent evidence, we also discuss the reasons underlying the need to include the concentrations of oleocanthal and other polyphenols in the EVOO’s nutrition facts label. Finally, we report our personal experience in the production of a certified organic EVOO with a “Protected Designation of Origin” (PDO), which was obtained from olives of three different cultivars (Rotondella, Frantoio, and Leccino) harvested in geographical areas located a short distance from one another (villages’ names: Gorga and Camella) within the Southern Italy “Cilento, Vallo di Diano and Alburni National Park” of the Campania Region (Province of Salerno, Italy).
Lumbar Spine Disease Detection: Enhanced CNN Model With Improved Classification Accuracy

Back pain is an issue affecting millions of people throughout the world. Research on back pain root cause detection is immense. The lumbar spine is a lower back region of the backbone that could also be responsible for back pain. Research on issues related to lumbar spine disease (LSD) is limited. The lumbar spine is critical for the human body as it supports the weight of the body. Many diseases can affect the lumbar spine adversely. This research is directed towards the detection of LSDs using optimized feature extraction and selection phases. Furthermore, the linearity-based model is used for feature selection, selecting only the best possible features to reduce the missed classification degree. The flow of the proposed research work is divided into phases. In the first phase, data collection is performed. Data collection in the proposed work includes both real-time and benchmark magnetic resonance imaging (MRI) datasets. The MRI dataset collected from the hospital is validated by medical experts. After data collection, pre-processing is applied. This step removes the noise from the collected dataset. The pre-processing mechanism is performed using histogram equalization, median filtering, validation, and normalization. After the pre-processing phase, background subtraction and region of interest (ROI) detection are performed using the region-cut mechanism. Optimal feature extraction is achieved using a differential spider monkey optimization (SMO), and feature selection is performed using a linearity-based convolutional neural network (CNN) model. In the end, ensemble-based classification is used for disease prediction. The validation of the result is conducted through classification accuracy, specificity, sensitivity, and F-Score. The high classification accuracy of 96% is achieved with multi support vector machine (MSVM), 94% with random forest (RF), 93.5% with a decision tree (DT), and 91% with the Naïve Bayes (NB) approach, proving the validity of the proposed approach.
Thermographic Mapping of Arterial Perforators in the Leg

Abstract Background: Preoperative localisation of perforators aids in easy intraoperative dissection. Infrared thermography is a simple, safe, and effective tool with a short learning curve that is useful in identifying perforators. It has been found to have a high concordance rate when compared with computed tomography angiography and is useful in identifying arterial perforators in the leg. Objectives: To create a thermographic map of arterial perforators in the leg and to determine the correlation between the number of perforators identified and the length of the leg. Materials and Methods: This was a cross-sectional study. The length of the leg was measured and the location of perforators corresponding to the distribution of the anterior tibial, posterior tibial, and peroneal arteries was identified using thermography. The mean number of perforators corresponding to the different surfaces of the leg was noted, this was then correlated with the length of the leg using the Pearson correlation coefficient. Results: Using thermography, perforators were identified along a line drawn from the medial malleolus to the medial tibia plateau and from the lateral malleolus to the head of the fibula and within 2 cm of these lines. More perforators were found in the middle third of the leg and there was no significant correlation between the number of perforators and the length of the leg. Conclusion: A useful surface marking to aid the identification of perforators in the leg using infrared thermography was found. There was no significant correlation between the length of the leg and the number of perforators.
G protein-coupled receptors and obesity

G protein-coupled receptors (GPCRs) have emerged as important drug targets for various chronic diseases, including obesity and diabetes. Obesity is a complex chronic disease that requires long term management predisposing to type 2 diabetes, heart disease, and some cancers. The therapeutic landscape for GPCR as targets of anti-obesity medications has undergone significant changes with the approval of semaglutide, the first peptide glucagon like peptide 1 receptor agonist (GLP-1RA) achieving double digit weight loss (≥10%) and cardiovascular benefits. The enhanced weight loss, with the expected beneficial effect on obesity-related complications and reduction of major adverse cardiovascular events (MACE), has propelled the commercial opportunity for the obesity market leading to new players entering the space. Significant progress has been made on approaches targeting GPCRs such as single peptides that simultaneously activate GIP and/or GCGR in addition to GLP1, oral tablet formulation of GLP-1, small molecules nonpeptidic oral GLP1R and fixed-dose combination as well as add-on therapy for patients already treated with a GLP-1 agonist.
Plio-Pleistocene stratigraphy and relations between marine and non-marine successions in the Middle Valley of the Tiber River (Latium, Umbria)

The Middle Valley of the Tiber River (MVT) corresponds to the “Paglia-Tevere Graben”, a “neoautochthonous” basin developed sinc e the latest Early Pliocene. The basin is in part linked with the intrapenninic Tiberino and Rieti Basins to the east, and with the Roman Basin to the south. The filling is mostly made up of Plio-Pleistocene marine deposits, unconformably overlaying the meso-cenozoic substratum. Two outcropping 3 rd order depositional sequences have been recognised: 1) the older is composed of Lower Pliocene-earliest Upper Pliocene shelfal clays and sands (G. puncticulata and G. aemiliana Chronozones) and rarer continental deposits; 2) the younger is late Gelasian-Santernian in age (G. inflata and G. cariacoensis-B. elegans marginata Chronozones) and mostly corresponds to the “Chiani-Tevere formation”, composed of neritic clayey-sandy sediments interfingered with fluvial-deltaic gravelly-sandy deposit s. The correlation between marine and non-marine deposits is based both on physical-stratigraphic observations and data (lithostratigraphy, facies analysis, sequence stratigraphy) and on their integration with biostratigraphic (foraminifera) and magnetostratigraphic data and with the numerical values of the 87 Sr/ 86 Sr ratio measured on mollusc shells, for the marine deposits, and with biochronological
Effects of Doppler-Division Multiplexing on OFDM Joint Sensing and Communication Systems

A promising waveform candidate for future joint sensing and communication systems is orthogonal frequency-division multiplexing (OFDM). For such systems, supporting multiple transmit antennas requires multiplexing methods for the generation of orthogonal transmit signals, where equidistant subcarrier interleaving (ESI) is the most popular multiplexing method. In this work, we analyze a multiplexing method called Doppler-division multiplexing (DDM). This method applies a phase shift from OFDM symbol to OFDM symbol to separate signals transmitted by different Tx antennas along the velocity axis of the range-Doppler map. The main focus of this work lies on the implications of DDM on the communication task. It will be shown that for DDM, the channels observed in the communication receiver are heavily time-varying, preventing any meaningful transmission of data when not taken into account. In this work, a communication system designed to combat these time-varying channels is proposed, which includes methods for data estimation, synchronization, and channel estimation. Bit error ratio (BER) simulations demonstrate the superiority of this communications system compared to ESI-based systems.
HOW AIR QUALITY AFFECTS HUMAN MOBILITY PATTERNS: AN EXPLORATORY ANALYSIS

Abstract. Air quality acts as an important factor that human may consider as they make decisions on when and where they would go. In order to access how much the air quality affects human mobility patterns, the air quality was measured using air quality index (AQI) and human mobility patterns were measured by travel volume and travel distance of shared bikes. Their correlation that presents on weekdays and weekends as well as in different administrative districts were investigated using Spearman correlation analysis method. A case study was conducted in Beijing, China using bike sharing data and air quality data ranging from May 10 to 16, 2017. The results show that travel distance is more sensitive to air quality on weekdays such as Changping District (−0.20), Haidian District (−0.13), Shunyi District (−0.12). The travel volume on weekdays is less sensitive to air quality due to commuting. The travel volume has a negative relationship with AQI on weekends. Fengtai District, Huairou District, Pinggu District are more susceptible to severe air quality, leading to a reduction in bike traveling distance. This work sheds light on understanding human-environment coupling mechanism and promoting urban sustainable development.
Schwann Cell-Derived Exosomal Vesicles: A Promising Therapy for the Injured Spinal Cord

Exosomes are nanoscale-sized membrane vesicles released by cells into their extracellular milieu. Within these nanovesicles reside a multitude of bioactive molecules, which orchestrate essential biological processes, including cell differentiation, proliferation, and survival, in the recipient cells. These bioactive properties of exosomes render them a promising choice for therapeutic use in the realm of tissue regeneration and repair. Exosomes possess notable positive attributes, including a high bioavailability, inherent safety, and stability, as well as the capacity to be functionalized so that drugs or biological agents can be encapsulated within them or to have their surface modified with ligands and receptors to imbue them with selective cell or tissue targeting. Remarkably, their small size and capacity for receptor-mediated transcytosis enable exosomes to cross the blood–brain barrier (BBB) and access the central nervous system (CNS). Unlike cell-based therapies, exosomes present fewer ethical constraints in their collection and direct use as a therapeutic approach in the human body. These advantageous qualities underscore the vast potential of exosomes as a treatment option for neurological injuries and diseases, setting them apart from other cell-based biological agents. Considering the therapeutic potential of exosomes, the current review seeks to specifically examine an area of investigation that encompasses the development of Schwann cell (SC)-derived exosomal vesicles (SCEVs) as an approach to spinal cord injury (SCI) protection and repair. SCs, the myelinating glia of the peripheral nervous system, have a long history of demonstrated benefit in repair of the injured spinal cord and peripheral nerves when transplanted, including their recent advancement to clinical investigations for feasibility and safety in humans. This review delves into the potential of utilizing SCEVs as a therapy for SCI, explores promising engineering strategies to customize SCEVs for specific actions, and examines how SCEVs may offer unique clinical advantages over SC transplantation for repair of the injured spinal cord.
Adipose tissue lymphocytes and obesity

Obesity is associated with chronic inflammation in adipose tissue (AT), mainly evidenced by infiltration and phenotypic changes of various types of immune cells. Macrophages are the major innate immune cells and represent the predominant immune cell population within AT. Lymphocytes, including T cells and B cells, are adaptive immune cells and constitute another important immune cell population in AT. In obesity, CD8+ effector memory T cells, CD4+ Th1 cells, and B2 cells are increased in AT and promote AT inflammation, while regulatory T cells and Th2 cells, which usually function as immune regulatory or type 2 inflammatory cells, are reduced in AT. Immune cells may regulate the metabolism of adipocytes and other cells through various mechanisms, contributing to the development of metabolic diseases, including insulin resistance and type 2 diabetes. Efforts targeting immune cells and inflammation to prevent and treat obesity-linked metabolic disease have been explored, but have not yielded significant success in clinical studies. This review provides a concise overview of the changes in lymphocyte populations within AT and their potential role in AT inflammation and the regulation of metabolic functions in the context of obesity.
Bridging Retinal and Cerebral Neurodegeneration: A Focus on Crosslinks between Alzheimer–Perusini’s Disease and Retinal Dystrophies

In the early stages of Alzheimer–Perusini’s disease (AD), individuals often experience vision-related issues such as color vision impairment, reduced contrast sensitivity, and visual acuity problems. As the disease progresses, there is a connection with glaucoma and age-related macular degeneration (AMD) leading to retinal cell death. The retina’s involvement suggests a link with the hippocampus, where most AD forms start. A thinning of the retinal nerve fiber layer (RNFL) due to the loss of retinal ganglion cells (RGCs) is seen as a potential AD diagnostic marker using electroretinography (ERG) and optical coherence tomography (OCT). Amyloid beta fragments (Aβ), found in the eye’s vitreous and aqueous humor, are also present in the cerebrospinal fluid (CSF) and accumulate in the retina. Aβ is known to cause tau hyperphosphorylation, leading to its buildup in various retinal layers. However, diseases like AD are now seen as mixed proteinopathies, with deposits of the prion protein (PrP) and α-synuclein found in affected brains and retinas. Glial cells, especially microglial cells, play a crucial role in these diseases, maintaining immunoproteostasis. Studies have shown similarities between retinal and brain microglia in terms of transcription factor expression and morphotypes. All these findings constitute a good start to achieving better comprehension of neurodegeneration in both the eye and the brain. New insights will be able to bring the scientific community closer to specific disease-modifying therapies.
Selection of FUV auroral imagers for satellite missions

A survey of previously flown and recently designed FUV auroral imagers is presented in conjunction with selection criteria to optimize the potential scientific impact of future satellite‐based FUV auroral observations. The selection of the appropriate suppressive imager is ultimately broken down to four field‐of‐view categories: (1) less than 10°, (2) 10° to 16°, (3) 16° to 24°, and (4) greater than 24°. The determination of the field of view follows as a necessary consequence of the orbit of the satellite, which is often imposed by the mission. The first category of imagers has a wide range of available choices, the second and third categories have a couple of options each where a distinction is made between narrow and wide aggregate filter bandwidth, and the fourth category is limited to on‐axis designs introduced by the authors. High‐resolution imaging is possible up to 50° field of view with the class of imager design first presented in this paper.
Prevalence and Patterns of Refractive Error Among School-Age Children in Bisha, Saudi Arabia

Background: A widespread and serious eye condition is a refractive error (RE). Globally, uncorrected refractive defects affect numerous individuals, with some who are blind. Numerous studies in Saudi Arabia have been conducted to assess reflective error. However, there is a lack of knowledge regarding RE among school-age children in Bisha province, southwest Saudi Arabia. This study aimed to determine the prevalence and types of RE among school-age children in Bisha, Saudi Arabia. Methods: A cross-sectional study involved 360 schoolchildren from primary schools was carried out between December 2022 and November 2023 in Bisha. A validated questionnaire form was used to collect sociodemographic information and clinical data (history of the ocular problem, visual acuity test findings, and the refractor machine's result). Result: A total of 360 schoolchildren aged from seven to 14 years, with a mean of 10.1 years (standard deviation (SD)=2.05). The prevalence of hyperopia was 21% in the right eye and 23% in the left eye. In addition, the prevalence of myopia was 20% in the right eye and 22.5% in the left eye. A significant association between visual acuity and myopia (p=0.001). By contrast, there was no significant correlation between hyperopia and visual acuity (p=0.412). Conclusion: The current study summarized the prevalence of REs among school-age children in Bisha, Saudi Arabia. The study population included nearly half of those with at least some degree of RE. These results highlight the need for prompt and careful screening programs to detect and treat refractive disorders across this age range.
Exploring the Potentiality of ZnO-BJT for Efficient Detection of Low Concentration Alcohols Through Innovative Utilization of Transistor Properties

A novel alcohol sensor device based on ZnO bipolar junction transistor (BJT) is reported, where the fields related to two junctions and the inherent current gain ( $\beta \sim 24$ ) properties of the device were utilized innovatively to improve the sensing performance. Two pivotal material features essential for gas sensing, e.g., nanostructures and non-stoichiometry of the constituent layers, were authenticated through Field-Emission Scanning Electron Microscopy (FESEM), Energy-Dispersive X-ray (EDAX), and Atomic Force Microscopy (AFM). The sensing performance of the device was evaluated from the changes in the collector current ( ${I}_{C}$ ) in the active region [in common emitter (CE) mode at room temperature, 27 °C] with exposure to methanol vapor (as a test case) considering the device performance in air as the reference. Remarkable improvement in the lowest detection limit (125 ppb) was achieved with fairly good sensitivity over the entire dynamic range (~25% at 125 ppb to ~86% at 200 ppm). The underlying mechanism for such increased sensitivity, even at low concentration regime, was explained in the light of the corresponding energy band diagram of the device as a function of the bias condition and gaseous ambient. Double-junctions-related electric field-induced dissociation of target species resulted in efficient low-concentration detection ability.
Modification in Structural, Electrical and Magnetic Properties of PrDoped Bismuth Ferrites

Pure and Pr doped multiferroic samples of bismuth ferrites (BFO) were successfully synthesized by the sol-gel technique. Detailed investigations were made on the influence of Pr on structural, electrical, ferroelectric and magnetic properties of the BFO. The XRD patterns confirm the formation of pure phase, rhombohedral structure in BFO. It is also observed that Pr-doping increases the symmetry and decreases the second phases noticeably. Microstructure investigation using the scanning electron microscope showed a reduction of grain size with doping in BFO. Magnetic hysteresis loops showed that retentivity (Mr), coercivity (Hc) and saturation magnetization (Ms) of the doped samples were improved. Furthermore, the Pr-doping enhances the dielectric properties as a result of the reduction in the Fe2+ ions and oxygen vacancies.