Miracle-dz/UniFAR-FTUs huggingface dataset:
International Union of Pharmacology. LXVIII. Mammalian Bombesin Receptors: Nomenclature, Distribution, Pharmacology, Signaling, and Functions in Normal and Disease States

The mammalian bombesin receptor family comprises three G protein-coupled heptahelical receptors: the neuromedin B (NMB) receptor (BB1), the gastrin-releasing peptide (GRP) receptor (BB2), and the orphan receptor bombesin receptor subtype 3 (BRS-3) (BB3). Each receptor is widely distributed, especially in the gastrointestinal (GI) tract and central nervous system (CNS), and the receptors have a large range of effects in both normal physiology and pathophysiological conditions. The mammalian bombesin peptides, GRP and NMB, demonstrate a broad spectrum of pharmacological/biological responses. GRP stimulates smooth muscle contraction and GI motility, release of numerous GI hormones/neurotransmitters, and secretion and/or hormone release from the pancreas, stomach, colon, and numerous endocrine organs and has potent effects on immune cells, potent growth effects on both normal tissues and tumors, potent CNS effects, including regulation of circadian rhythm, thermoregulation; anxiety/fear responses, food intake, and numerous CNS effects on the GI tract as well as the spinal transmission of chronic pruritus. NMB causes contraction of smooth muscle, has growth effects in various tissues, has CNS effects, including effects on feeding and thermoregulation, regulates thyroid-stimulating hormone release, stimulates various CNS neurons, has behavioral effects, and has effects on spinal sensory transmission. GRP, and to a lesser extent NMB, affects growth and/or differentiation of various human tumors, including colon, prostate, lung, and some gynecologic cancers. Knockout studies show that BB3 has important effects in energy balance, glucose homeostasis, control of body weight, lung development and response to injury, tumor growth, and perhaps GI motility. This review summarizes advances in our understanding of the biology/pharmacology of these receptors, including their classification, structure, pharmacology, physiology, and role in pathophysiological conditions.
Pore water flow due to near‐bed turbulence and associated solute transfer in a stream or lake sediment bed

A model of pore water flow induced by pressure fluctuations from a turbulent boundary layer flow over a permeable sediment bed is presented. The bed has a smooth or rough flat surface without bed forms. Pressure and velocity fluctuations that penetrate from the sediment/water interface into the sediment pore system and affect mass (solute) transfer are described as periodic in space and time. The amplitude (p0) is determined from a study of the turbulent kinetic energy balance for wall turbulence; the wave number (χ) and the period (T) are given as functions of the shear velocity (U*) based on the near‐bed coherent motions. The flow field in the sediment is described by the continuity equation and Darcy's law. Simulation results show that pore water velocity is faster when the shear velocity (U*) on the sediment bed and/or the permeability of the sediment bed (k) are increased. Accordingly, the exchange velocity of water or solute transfer rate across the sediment/water interface (V0) becomes larger when (U*) and (k) are increased. However, the penetration depth of pore water velocity fluctuations into the sediment bed becomes smaller when (U*) is larger, i.e., when the period of fluctuating pressure is short. Overall, this paper provides new and quantitative information on the enhancement of pore water flow in a flat sediment bed over which a turbulent current is flowing.
Enhanced productivity led to increased organic carbon burial in the euxinic North Atlantic basin during the late Cenomanian oceanic anoxic event

[1] Three Cenomanian/Turonian (C/T, ∼93.5 Ma) black shale sections along a northeast-southwest transect in the southern part of the proto-North Atlantic Ocean were correlated by stable carbon isotope stratigraphy using the characteristic excursion in δ13C values of both bulk organic matter (OM) and molecular fossils of algal chlorophyll and steroids. All three sites show an increase in marine organic carbon (OC) accumulation rates during the C/T Oceanic Anoxic Event (OAE). The occurrence of molecular fossils of anoxygenic photosynthetic green sulfur bacteria, lack of bioturbation, and high abundance of redox sensitive trace metals indicate sulfidic conditions, periodically reaching up into the photic zone before as well as during the C/T OAE. During the C/T OAE, there was a significant rise of the chemocline as indicated by the increase in concentrations of molecular fossils of green sulfur bacteria and Mo/Al ratios. The presence of molecular fossils of the green strain of green sulfur bacteria indicates that euxinic conditions periodically even occurred at very shallow water depths of 15 m or less during the C/T OAE. However, bottom water conditions did not dramatically change as indicated by more or less constant V/Al and Zn/Al ratios at site 367. This suggests that the increase in OC burial rates resulted from enhanced primary productivity rather than increased anoxia, which is supported by stable carbon isotopic evidence and a large increase in Ba/Al ratios during the C/T OAE. The occurrence of the productivity event during a period of globally enhanced organic carbon burial rates (i.e., the C/T OAE) points to a common cause possibly related to the formation of a deep water connection between North and South Atlantic basins.
Personalized 3D Human Pose and Shape Refinement

Recently, regression-based methods have dominated the field of 3D human pose and shape estimation. Despite their promising results, a common issue is the misalignment between predictions and image observations, often caused by minor joint rotation errors that accumulate along the kinematic chain. To address this issue, we propose to construct dense correspondences between initial human model estimates and the corresponding images that can be used to refine the initial predictions. To this end, we utilize renderings of the 3D models to predict per-pixel 2D displacements between the synthetic renderings and the RGB images. This allows us to effectively integrate and exploit appearance information of the persons. Our per-pixel displacements can be efficiently transformed to per-visible-vertex displacements and then used for 3D model refinement by minimizing a reprojection loss. To demonstrate the effectiveness of our approach, we refine the initial 3D human mesh predictions of multiple models using different refinement procedures on 3DPW and RICH. We show that our approach not only consistently leads to better image-model alignment, but also to improved 3D accuracy.
Sleeping well with cancer: a systematic review of cognitive behavioral therapy for insomnia in cancer patients

: Individuals with cancer are disproportionately affected by sleep disturbance and insomnia relative to the general population. These problems can be a consequence of the psychological, behavioral, and physical effects of a cancer diagnosis and treatment. Insomnia often persists for years and, when combined with already high levels of cancer-related distress, may place cancer survivors at a higher risk of future physical and mental health problems and poorer quality of life. The recommended first-line treatment for insomnia is cognitive behavioral therapy for insomnia (CBT-I), a non-pharmacological treatment that incorporates cognitive and behavior-change techniques and targets dysfunctional attitudes, beliefs, and habits involving sleep. This article presents a comprehensive review of the literature examining the efficacy of CBT-I on sleep and psychological outcomes in cancer patients and survivors. The search revealed 12 studies (four uncontrolled, eight controlled) that evaluated the effects of CBT-I in cancer patients or survivors. Results suggest that CBT-I is associated with statistically and clinically significant improvements in subjective sleep outcomes in patients with cancer. CBT-I may also improve mood, fatigue, and overall quality of life, and can be successfully delivered through a variety of treatment modalities, making it possible to reach a broader range of patients who may not have access to more traditional programs. Future research in this area should focus on the translation of evidence into clinical practice in order to increase awareness and access to effective insomnia treatment in cancer care.
Genetic variation and phylogenetic position of Taxus sumatrana (Miq.) de Laub. (Taxaceae) in Sumatra, Indonesia based on trnL-trnF region

Abstract. Kamal I, Arrofaha N, Susila, Yulita KS, Rachmat HH, Susilowati A. 2023. Genetic variation and phylogenetic position of Taxus sumatrana (Miq.) de Laub. (Taxaceae) in Sumatra, Indonesia based on trnL-trnF region. Biodiversitas 24: 5155-5166. Taxus sumatrana (Miq.) de Laub. is a synonym of T. wallichiana Zucc. by some authors based on morphological characters and its distribution. This species is a medicinal plant and contains taxol as an anti-cancer with slow natural regeneration rate and increasing threats to their existence. This study aimed to determine the genetic diversity and the phylogenetic analysis using trnL-trnF for T. sumatrana growing in Sumatra, Indonesia. The total of 37 individuals from three natural populations of T. sumatrana were studied, consisting of the current new collection from Toba - North Sumatra and previously studied population of Dempo - South Sumatra and Sungai Penuh, Kerinci Seblat National Park - Jambi. The Toba population did not show variation at individual level within the population as similar results were obtained from the previous study. However, one indel (- and A) was found at 217 bp from all three T. sumatrana populations from Sumatra, Indonesia. When the sequences were aligned with the reference sequence from GenBank, single base substitutions were found at 344, 478,722, and 757 bp consisting of one indel and three single nucleotide polymorphisms (SNPs). Phylogeny tree showed that T. sumatrana from Sumatra population clustered together with T. mairei and T. wallichiana var. mairei and later combined with other T. sumatrana available in NCBI.
Small Schools and the Pressure to Consolidate

Positioned in relationship to reform literature calling for small schools “by design” and interpreting data from a case study of a high performing but low-SES district in a Midwestern state, this paper provides a basis for making sense of the apparent divergence in policies governing schooling structures in rural and urban places. Its interpretation examines the way educational reformers work to valorize a multidimensional set of practices constituting “small school reform. ” This reform package is, ironically, to some extent unrelated to what is actually taking place naturally in small schools and districts, where more “traditional” practices are said to be more common. Reformers often regard such practices as deficient, but that judgment seems to disregard empirical findings about school and district size, which typically show that smaller scale itself confers advantages across locales. Moreover, they overlook dynamics such as those revealed in this case study, which demonstrate how smaller scale promotes a close-knit family atmosphere as well as shared commitment to a set of core values. In addition, with smaller scale come structural arrangements that support an ethos of self-sufficiency and openness to
Scientists on the move: tracing scientists mobility and its spatial distribution

This paper aims to provide new insights into the well-studied phenomenon of knowledge spillovers. We study one of the main mechanisms through which these spillovers occur, that is, the mobility of highly-skilled individuals. In contrast to earlier studies, we focus on the geographical mobility of inventors across European regions. First, we gather information from PCT patent documents (from the OECD REGPAT database, May 2008 edition) and match the names which seemed to belong to the same inventor using name matching algorithms; second, we create a new algorithm to decide whether each patent applied for under each name belongs to the same inventor, according to set of predetermined characteristics. We use this information to trace the pattern of scientists’ and inventors’ mobility across European regions.
A Zero-day Container Attack Detection based on Ensemble Machine Learning

Machine-learning-based approaches have emerged as viable solutions for automatic detection of container-related cyber attacks. Choosing the best anomaly detection algorithms to identify such cyber attacks can be difficult in practice, and it becomes even more difficult for zero-day attacks for which no prior attack data has been labeled. In this paper, we aim to address this issue by adopting an ensemble learning strategy: a combination of different base anomaly detectors built using conventional machine learning algorithms. The learning strategy provides a highly accurate zero-day container attack detection. We first architect a testbed to facilitate data collection and storage, model training and inference. We then perform two case studies of cyber attacks. We show that, for both case studies, despite the fact that individual base detector performance varies greatly between model types and model hyperparameters, the ensemble learning can consistently produce detection results that are close to the best base anomaly detectors. Additionally, we demonstrate that the detection performance of the resulting ensemble models is on average comparable to the best-performing deep learning anomaly detection approaches, but with much higher robustness, shorter training time, and much less training data. This makes the ensemble learning approach very appealing for practical real-time cyber attack detection scenarios with limited training data.
Mean Field Optimal Control Problem for Predicting the Spread of Viral Infections

To describe the epidemic outbreak, we divide the entire population into five groups: susceptible to the virus (S), active infected (I), immune after vaccination or disease (R), vaccinated but not yet immune (V), and deceased (D), whose dynamics is described by SIR-type models and relies on the mass balance law. The population is considered rational and agents tend to choose isolation and vaccination strategies based on their own benefit, leading to an optimal control model. Such dynamic are described by mean field game (MFG) approach. A number of epidemiological scenarios have been constructed and computational results were compared with statistical data in Krasnoyarsk region for one month in 2022 to estimate the epidemiological situation in the region under consideration. MFG approach allows to take into account the heterogeneity of the population, which leads to the fact that the epidemiological MFG models are a kind of layer between simple differential SIR models and computationally complex agent based models.
A Retrospective Review of Richard A. Gould's Living Archaeology

Three components provide the structure for Richard Gould’s book Living Archaeology. The first component presents his original re search into the cultural ecology and behavior of Aboriginal groups living in the Australian desert. This section also includes informa tion on Gould’s excavations at Puntutjarpa rock shelter located in the Western Desert and the James Range East shelter in the Central Desert. The second component of the book presents Australian ethnohis torical and archaeological research, which provides a continent-wide context for Gould’s work. Finally, there are a number of connecting chapters and sections that advance Gould’s theoretical arguments concerning the nature of the archaeological record and how ethnographic observations by archaeologists assist its interpretation. In this retrospective, we consider first his motivations for undertaking eth noarchaeological work, then his theoretical position, and finally his contribution to Australian archaeology.
Recognising Worker Intentions by Assembly Step Prediction

This paper presents a novel approach to recognize a worker’s intentions for assistive systems in manual assembly. Building on previous research, it introduces a process description for assembling products, addressing the inflexibility and limitations of previous models. This enhancement enables the modeling of assemblies for a substantial amount of products. The proposed pipeline for intention recognition employs object detection, an assembly information model, and a Markov model. One major advantage of the new method is the ability to work with limited or no training data. The online learning capabilities of the model allow for adaptation to individual workers even with just one assembly. This flexibility makes this novel approach ideal for assistive systems. We also discuss about the model’s ability to suit any type of assembly product allowing offline training and guiding unskilled workers during their assembly processes.
Outage Performance Comparison of Adaptive Relaying Schemes Subject to Jamming

Proper relay selection (RS) plays a key role for improving the reliability of wireless networks, especially in the presence of jamming attacks and/or interferers. In this work, we consider several RS schemes from the literature, using e.g. channel gains and signal-to-interference plus noise ratio (SINR) to select a relayer and evaluate them using outage probability (OP). We also propose an RS scheme which is selecting relayers to maximize the communication reliability in terms of minimizing the OP. The suggested RS strategy also takes the effect of jamming attacks and/or interferers into account. Accordingly, an intensive investigation of the OP of all RS schemes considering also jammers’ positions in various scenarios is conducted. The results suggest that a combination of RS schemes using channel gains and SINRs of all hops achieves the best communication reliability in scenarios with intensive interference. The sensitivity for channel estimation errors of the relaying schemes is also investigated. Finally, discussions about the obtained results together with the complexity of all RS schemes are presented before providing guidelines on which schemes should be used in which scenarios to improve the communication reliability.
Evaluating the Integration of Wireless Time-Sensitive Networking with Software-Defined Networking for Dynamic Network Configuration

The introduction of Time-Sensitive Networking (TSN) is revolutionizing real-time networks and time-critical applications. Recent advancements in this field extended the TSN capabilities to wireless technologies, giving rise to the concept of wireless TSN (WTSN). This paper focuses on the integration of wireless TSN with Software-Defined Networking (SDN) to enable dynamic network configuration and improve the performance of time-sensitive applications. We present a practical test environment that uses a hybrid network configuration consisting of wireless and wired TSN links. The primary objective is to evaluate the effectiveness of combining a TSN-capable network with an SDN controller. This setup enables dynamic configuration and routing within the system, allowing for prompt actions to address network issues, such as seamlessly re-routing data paths between the two links due to an increase in latency or packet loss. A measurement setup using OpenVSwitch in the wireless TSN domain is presented, along with the evaluation of time synchronization and dynamic route selection capabilities.
Gravity wave modulation of gradient drift instabilities in mid-latitude sporadic E irregularities

Recent E region VHF backscatter echoes observed by the MU radar at mid-latitudes show quasi-periodic striations with a fairly constant range vs. time tilt in a RTI display. These features are explained in terms of gravity waves with frequencies close to the Brunt-Vaisala frequency which modulate the shape of sporadic E layers. The conditions of instability, when the magnetic field has a significant dip angle, is revised. Differing from previous work, we argue that conditions of local gradient drift instability are not sufficient and one has to consider the integrated properties of each magnetic filed tube. Stratified sporadic E layers are stable using this new criteria, unless they are distorted to produce unstable integrated gradients. Gravity waves with phase fronts parallel to the magnetic dip angle are capable of producing such distortion, imposing its own temporal and spatial periodicity on the echoes.
Comparison of laparoscopic evaluation of hepatosteatosis with ultrasound findings.

OBJECTIVE Nonalcoholic fatty liver disease (NAFLD) is a condition characterized by abnormal liver function because of lipid accumulation. NAFLD can range from simple fatty liver, which is usually harmless, to a more severe condition called non-alcoholic steatohepatitis (NASH), which involves inflammation, liver cell damage, cirrhosis, and liver cancer. Liver biopsy is considered the gold standard for diagnosing and staging hepatosteatosis, but it is an invasive and expensive procedure. Non-invasive methods, such as ultrasound, and magnetic resonance imaging (MRI), can provide useful information without the need for an invasive procedure. This study aimed to compare laparoscopic findings of hepatosteatosis with ultrasound data to create a classification that can identify individuals with NASH in operated patients. PATIENTS AND METHODS 120 patients who applied to the General Surgery Department of Istinye University Faculty of Medicine between 06/2022 and 12/2022 were included in the study. They were evaluated for hepatosteatosis with preoperative ultrasound. Demographic, physical examination (BMI), laboratory, and radiological findings of the patients were recorded retrospectively. In addition, laparoscopy video recordings were reviewed retrospectively, and the findings were evaluated. Statistical analysis of the findings was made. The p-value was calculated using the Chi-square test; p-value <0.05 was considered statistically significant. RESULTS The mean age of 120 patients was 39.04 years, the mean BMI was 34.9 kg/m², and 63.3% of them were female patients. Cholecystectomy was performed in 60 of 120 patients, and sleeve gastrectomy in 60 of them. It has been observed that there is a high correlation between the ultrasound grade and the laparoscopic stage of hepatosteatosis (r=0.849) (p<0.05). CONCLUSIONS Laparoscopy results to be an effective method in the diagnosis and classification of NASH.