Miracle-dz/UniFAR-FTUs huggingface dataset:
Reef‐Scale‐Dependent Response of Massive Porites Corals From the Central Indian Ocean to Prolonged Thermal Stress: Evidence From Coral Sr/Ca Measurements

Here we present coral Sr/Ca data of biweekly resolution from three modern coral cores drilled from living Porites corals from two different reef settings at Chagos (tropical Indian Ocean). Chagos lies at the eastern margin of the Seychelles‐Chagos thermocline ridge and features open ocean upwelling. In situ temperatures have been recorded by temperature loggers since 2006. High‐resolution satellite temperatures closely track the logger data. Two cores were collected from a patch reef in the lagoon of Peros Banhos, a site characterized by high mean temperatures and low‐temperature variability. An open ocean core was collected at the outer reef slope of Diego Garcia, which experiences larger temperature fluctuations related to open ocean upwelling. The open ocean core shows clear seasonal cycles in Sr/Ca that closely track the satellite temperatures. The Sr/Ca records from the two lagoon corals show good reproducibility. Between 2007 and 2010, Sr/Ca tracks satellite temperatures. However, between 2003 and 2006 the Sr/Ca curves are almost flat and annual coral growth rates are low. During these years, warm sea surface temperatures and coral bleaching have been observed at Chagos. It is likely that the observed reduction in coral growth rates is a response to prolonged warming events, adding to the growing evidence that seemingly healthy and surviving corals are affected by thermal stress. Further, the high correlation between the Sr/Ca records of the two lagoon cores suggests that this effect is not limited to single coral colonies but may affect the entire reef setting.
Neuroleptic Toxicity Syndromes: A Clinical Spectrum

The neuroleptic malignant syndrome (NMS) has undergone a number of changes since it was first described in the 1960s. This paper presents a review of these changes from the traditional approach of rigid categorization through the more flexible operational definitions to a spectrum of neuroleptic toxicity. This spectrum spans neuroleptic-induced extrapyramidal side effects, possible stages of neuroleptic toxicity, and the full blown neuroleptic malignant syndrome. Different theoretical concepts of the syndrome have contributed to diagnostic confusion among clinicians and thus to difficulties in management. The concept of a spectrum of neuroleptic toxicity provides a coherent theoretical base for understanding NMS and thus allows for more rapid identification of the potential threat of NMS. Three cases are presented and discussed to highlight the utility of the concept of a clinical spectrum.
Self-optimized cloud RAN based smart zone

Due to the exploded demand for mobile traffic and diverse service type, flexible mobile networks with high capacity is drawing lots of research efforts. Distributed large scale (DLS) MIMO has superiority over centralized large scale MIMO and separated small cells due to lower signal loss to users and central control. In this paper, we present a self-optimization method for Cloud RAN based DLS MIMO. The method includes network dimensioning and antenna clustering with adaptability to the migration of hardware/virtualization technology and user over time. Other advantages are easing the process for dimensioning and optimization, requiring fewer antennas, and less demand for controller & baseband computing power due to the characteristic of low complexity.
Genes Involved in Copper Homeostasis inEscherichia coli

ABSTRACT Recently, genes for two copper-responsive regulatory systems were identified in the Escherichia coli chromosome. In this report, data are presented that support a hypothesis that the putative multicopper oxidase CueO and the transenvelope transporter CusCFBA are involved in copper tolerance in E. coli.
Algorithms for distributed functional monitoring

We study what we call <i>functional monitoring</i> problems. We have <i>k</i> players each tracking their inputs, say player <i>i</i> tracking a multiset <i>A<sub>i</sub>(t)</i> up until time <i>t</i>, and communicating with a central coordinator. The coordinator's task is to monitor a given function <i>f</i> computed over the union of the inputs ∪<i><sub>i</sub>A<sub>i</sub>(t), continuously</i> at all times <i>t</i>. The goal is to minimize the number of bits communicated between the players and the coordinator. A simple example is when <i>f</i> is the sum, and the coordinator is required to alert when the sum of a distributed set of values exceeds a given threshold τ. Of interest is the approximate version where the coordinator outputs 1 if <i>f</i> ≥ τ and 0 if <i>f</i> ≤ (1 - ε)τ. This defines the (<i>k, f</i>, τ, ε) distributed, functional monitoring problem. Functional monitoring problems are fundamental in distributed systems, in particular sensor networks, where we must minimize communication; they also connect to problems in communication complexity, communication theory, and signal processing. Yet few formal bounds are known for functional monitoring. We give upper and lower bounds for the (<i>k, f</i>, τ, ε) problem for some of the basic <i>f</i>'s. In particular, we study frequency moments (<i>F</i><sub>0</sub>, <i>F</i><sub>1</sub>, <i>F</i><sub>2</sub>). For <i>F</i><sub>0</sub> and <i>F</i><sub>1</sub>, we obtain continuously monitoring algorithms with costs almost the same as their one-shot computation algorithms. However, for <i>F</i><sub>2</sub> the monitoring problem seems much harder. We give a carefully constructed multi-round algorithm that uses "sketch summaries" at multiple levels of detail and solves the (<i>k, F</i><sub>2</sub>, τ, ε) problem with communication <i>Õ</i>(<i>k</i><sup>2</sup>/ε+ (√<i>k</i>/ε)<sup>3</sup>). Since frequency moment estimation is central to other problems, our results have immediate applications to histograms, wavelet computations, and others. Our algorithmic techniques are likely to be useful for other functional monitoring problems as well.
On-line thermal aware dynamic voltage scaling for energy optimization with frequency/temperature dependency consideration

With new technologies, temperature has become a major issue to be considered at system level design. Without taking temperature aspects into consideration, no approach to energy or/and performance optimization will be sufficiently accurate and efficient. In this paper we propose an on-line temperature aware dynamic voltage and frequency scaling (DVFS) technique which is able to exploit both static and dynamic slack. The approach implies an offline temperature aware optimization step and on-line voltage/frequency settings based on temperature sensor readings. Most importantly, the presented approach is aware of the frequency/temperature dependency, by which important additional energy savings are obtained.
Orthographic Perspective Mappings for Consistent Wide-Area Motion Feature Maps From Multiple Cameras

Spatiotemporal activity maps have been used to visualize where activity occurs over time, and are often displayed as pseudo-color heat maps. Our multi-dimensional activity map includes the following motion features: density, direction, bi-direction, velocity, and dwell. The primary contribution of this paper is to describe a set of mappings that will transform the activity maps captured from the cameras of different perspectives to the ones from a single orthographic perspective. The purpose of this is to be able to view and compare multiple activity maps from different camera views over a wide area with consistently comparable data. A second contribution is that the most mappings are based upon statistically learned camera perspectives to minimize manual camera calibration. We demonstrate mapping results with multiple video data sets and describe applications for visualization and wide-area spatial probability estimation.
ScreenSpot: multidimensional resource discovery for distributed applications in smart spaces

Big challenge related to the contemporary research on ubiquitous and pervasive computing is that of seamless integration. For the next generation of ubiquitous and distributed applications to emerge, disruptive functionality towards opportunistic and heterogeneous device ensembles is required on all levels of operation. In this paper, we present middleware-level resource management service for situated displays in public smart spaces, acting as a scheduler and an arbiter for mobile clients. From this service, we focus on multidimensional resource discovery, which facilitates mobile users in locating and deploying situated displays in public and semi-public smart spaces. Dimensions for discovery include dynamic availability of the displays in both spatial and temporal scales, user and role-based access control, as well as the support for intended service. We have implemented the discovery service and subjected it for alpha testing in an indoor setting. We report a proof-of-concept implementation of the ScreenSpot system and we demonstrate an approach of visualizing the discovery results to the user.
Functional full-term placentas formed from parthenogenetic embryos using serial nuclear transfer

Mammalian parthenogenetic embryos invariably die in mid-gestation from imprinted gene defects and placental hypoplasia. Based on chimera experiments, trophoblastic proliferation is supposed to be inhibited in the absence of a male genome. Here, we show that parthenogenetic mouse embryonic cell nuclei can be reprogrammed by serial rounds of nuclear transfer without using any genetic modification. The durations of survival in uteri of cloned foetuses derived from green fluorescent protein (GFP)-labelled parthenogenetic cell nuclei were extended with repeated nuclear transfers. After five repeats, live cloned foetuses were obtained up to day 14.5 of gestation; however, they did not survive longer even when we repeated nuclear transfer up to nine times. All foetuses showed intestinal herniation and possessed well-expanded large placentas. When embryonic stem (ES) cells derived from fertilised embryos were aggregated with the cloned embryos, full-term offspring with large placentas were obtained from the chimeric embryos. Those placentas were derived from parthenogenetic cell nuclei, judging from GFP expression. The patterns of imprinted gene expression and methylation status were similar to their parthenogenetic origin, except for Peg10, which showed the same level as in the normal placenta. These results suggest that there is a limitation for foetal development in the ability to reprogramme imprinted genes by repeated rounds of nuclear transfer. However, the placentas of parthenogenetic embryos can escape epigenetic regulation when developed using nuclear transfer techniques and can support foetal development to full gestation.
Mechanism of Liver Injury during Obstructive Jaundice: Role of Nitric Oxide, Splenic Cytokines, and Intestinal Flora

To elucidate the roles of enteric bacteria and immunological interactions among liver, spleen and intestine in the pathogenesis of liver injury during obstructive jaundice, we studied the effects of antibiotics and splenectomy on bile-duct-ligated C57BL mice. When animals were subjected to bile-duct-ligation (BDL), plasma levels of bilirubin, alanine aminotransferase and aspartate aminotransferase increased markedly. However, the increases in plasma transaminases were significantly lower in splenectomized or antibiotics-treated groups than in the control BDL group. Histological examination revealed that liver injury was also low in the two groups. BDL markedly increased plasma level of interferon-γ (IFN-γ) and the expression of inducible nitric oxide synthase (iNOS) in liver and spleen. These changes were suppressed either by splenectomy or administration of antibiotics. Kinetic analysis revealed that BDL-induced liver injury and the increase of interleukin-10 (IL-10) and INF-γ were lower in iNOS−/− than in wild type animals. BDL markedly increased the expression of IgA in colonic mucosa. These observations suggest that enteric bacteria, nitric oxide and cytokines including IFN-γ and IL-10 derived from spleen and intestines form a critical network that determines the extent of liver injury during obstructive jaundice.
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior

A fully automated, unsupervised lobe segmentation algorithm is presented based on a probabilistic segmentation of the fissures and the simultaneous construction of a populationmodel of the fissures. A two-class probabilistic segmentation segments the lung into candidate fissure voxels and the surrounding parenchyma. This was combined with anatomical information and a groupwise fissure prior to drive non-parametric surface fitting to obtain the final segmentation. The performance of our fissure segmentation was validated on 30 patients from the chronic obstructive pulmonary disease COPDGene cohort, achieving a high median $F_{1}$ -score of 0.90 and showed general insensitivity to filter parameters. We evaluated our lobe segmentation algorithm on the Lobe and Lung Analysis 2011 dataset, which contains 55 cases at varying levels of pathology. We achieved the highest score of 0.884 of the automated algorithms. Our method was further tested quantitatively and qualitatively on 80 patients from the COPDgene study at varying levels of functional impairment. Accurate segmentation of the lobes is shown at various degrees of fissure incompleteness for 96% of all cases. We also show the utility of including a groupwise prior in segmenting the lobes in regions of grossly incomplete fissures.
Hpvm Minutesort

Using a modi ed implementation of the HPVM-MinuteSort we benchmarked a heterogeneous con guration of a HPVM cluster. We pinpointed bottlenecks, miscon gurations and the upperbound performance of the several components of the cluster con guration. The benchmark sorted 21.8 GB of data in less than minute, which improves on the previous record for more than 100%. The cluster features two kinds of systems that di ers in the amount of memory, IO capability and CPU power. The MinuteSort was designed as a onepass sort, which moves the data from the nodes with more IO capabilities to the nodes with more memory and CPU power to be sorted. After some troubleshooting, the design allowed us to exhaust the memory of the NetServers. To launch the application we used Catapult, a DCOM based tool to start up remote applicatoins.
Involving Users and Experts in Motion-Based Game Design for Older Adults

Motion-based video games have a variety of positive effects on older adults, but their design remains challenging. Traditional game design often turns towards a user-centered design process, and game design experts are readily available. This paper discusses the challenges and opportunities of this approach in motion-based game design for older adults. We identify core challenges and show how users and experts can be involved in the design process to help game developers create safe, accessible and enjoyable motion-based games for older adults.
Distributed connection acceptance control for a connectionless network

We describe how a packet network with a simple pricing mechanism and no connection acceptance control may be used to carry a telephony-like service with low packet loss and some call blocking. The packet network uses packet marking to indicate congestion and endsystems are charged a fixed small amount per mark received. The end-systems are thus provided with the information and the incentive to use the packet network efficiently. We demonstrate that algorithms embedded in the end-systems are able to synthesize a telephony-like service by blocking calls at times when the load in the packet network is high.
Trends in Species Distribution and Susceptibility of Bloodstream Isolates of Candida Collected in Monterrey, Mexico, to Seven Antifungal Agents: Results of a 3-Year (2004 to 2007) Surveillance Study

ABSTRACT During a 3-year surveillance program (2004 to 2007) in Monterrey, Mexico, 398 isolates of Candida spp. were collected from five hospitals. We established the species distribution and in vitro susceptibilities of these isolates. The species included 127 Candida albicans strains, 151 C. parapsilosis strains, 59 C. tropicalis strains, 32 C. glabrata strains, 11 C. krusei strains, 5 C. guilliermondii strains, 4 C. famata strains, 2 C. utilis strains, 2 C. zeylanoides strains, 2 C. rugosa strains, 2 C. lusitaniae strains, and 1 C. boidinii strain. The species distribution differed with the age of the patients. The proportion of candidemias caused by C. parapsilosis was higher among infants ≤1 year old, and the proportion of candidemias caused by C. glabrata increased with patient age (>45 years old). MICs were calculated following the criteria of the Clinical Laboratory Standards Institute reference broth macrodilution method. Overall, C. albicans, C. parapsilosis, and C. tropicalis isolates were susceptible to fluconazole and amphotericin B. However, 31.3% of C. glabrata isolates were resistant to fluconazole (MIC ≥ 64 μg/ml), 43.3% were resistant to itraconazole (MIC ≥ 1 μg/ml), and 12.5% displayed resistance to amphotericin B (MIC ≥ 2 μg/ml). Newer triazoles, namely, voriconazole, posaconazole, and ravuconazole, had a notable in vitro activity against all Candida species tested. Also, caspofungin was active against Candida sp. isolates (MIC90 ≤ 0.5 μg/ml) except C. parapsilosis (MIC90 = 2 μg/ml). It is imperative to promote a national-level surveillance program to monitor this important microorganism.
The new biomarker that predicts in-hospital mortality in myocardial infarction: glucose/potassium ratio

Aims: Acute myocardial infarction (AMI) remains one of the leading causes of cardiovascular mortality. However, the parameters used to predict short-term mortality are limited. Glucose-potassium ratio (GPR) is a new biomarker that has been recently used. This study aimed to investigate the usefulness of GPR in predicting short-term mortality in patients diagnosed with AMI in the emergency department. Methods: This retrospective cohort study was conducted between January 1, 2022, and June 30, 2022, and included patients registered in the hospital emergency health system with IRB (Institutional Review Board) approval. Patients were identified based on inclusion criteria, and their demographic data, laboratory findings, and outcomes were recorded in the hospital registration system. Data comparisons between deceased and non-deceased patients were performed using the Student's t-test. Correlation analysis was performed using Spearman's correlation coefficients. A binary logistic regression model was created to determine the predictive parameters, and odds ratios and 95% confidence intervals (CI) were presented. Results: A total of 665 patients diagnosed with AMI were included in the study, with 75.9% of all patients being male and an average age of 62.14±11.62. A total of 6.6% of the patients included in the study died due to various causes during hospitalization. When laboratory values of deceased AMI patients were examined, statistically significant increases in glucose, urea, creatinine, WBC, neutrophil, lymphocyte, troponin, ckmb, and lactate levels were observed. The effects of GPR, NLR, PLR, lactate, and troponin levels on in-hospital mortality were analyzed using univariate logistic regression. GPR (95% CI 1.015-1.036, p=0.000), troponin (95% CI 1.001-1.001, p=0.000), and lactate (95% CI 1.437-1.908, p=0.000) were found to be the most important factors associated with mortality in patients with AMI. The ability to predict in-hospital mortality in AMI was compared, and GPR was found to have a higher predictive ability than troponin, a biomarker of myocardial damage (AUC: 0.729; P? =? 0.000; Sensitivity:70%; Specificity:70%; Cut-off: 38.21). Conclusion: GPR, as a new and inexpensive biomarker, can be used to determine in-hospital mortality in patients with AMI. This index has a better predictive ability than troponin, NLR, and PLR, but is weaker than lactate.
The advantages and short circuit characteristics of SiC MOSFETs

SiC MOSFETs have exhibited considerable benefits in high-frequency, high-voltage, and high-temperature power electronics applications with outstanding material attributes as a result of the rapid advancement of power electronics technology. SiC MOSFETs slower short-circuit tolerance and faster switching rates provide new issues for the short-circuit prevention technology. In the opening section of the study, Si and SiC MOSFETs are compared and evaluated using various models and parametric factors. It has been demonstrated that SiC MOSFETs outperform Si MOSFETs in a variety of conditions and applications. The many SiC MOSFET short-circuit failure types as well as their underlying theories are initially explained in the papers main body. In addition, it examines the fundamentals of short-circuit test procedures and SiC MOSFET test circuits. The issues and limitations of the currently available SiC MOSFET short-circuit protection technology are then explored, along with factors impacting the short-circuit of SiC MOSFETs that are thoroughly examined. Lastly, the SiC MOSFET short-circuit protection technology development trend is forecasted, and potential future areas for improvement and innovation are considered. SiC MOSFET short-circuit protection technology will be enhanced and optimized to satisfy the needs of efficient and dependable power electronic systems as technology advances and application requirements expand.
Location-aided routing (LAR) in mobile ad hoc networks

A mobile ad hoc network consists of wireless hosts that may move often. Movement of hosts results in a change in routes, requiring some mechanism for determining new routes. Several routing protocols have already been proposed for ad hoc networks. This report suggests an approach to utilize location information (for instance, obtained using the global positioning system) to improve performance of routing protocols for ad hoc networks.
Evidence for bilateral innervation of certain homologous motoneurone pools in man.

1. Surface EMG recordings were made from left and right homologous muscle pairs in healthy adults. During each recording session subjects were requested to maintain a weak isometric contraction of both the left and right muscle. 2. Cross‐correlation analysis of the two multiunit EMG recordings from each pair of muscles was performed. Central peaks of short duration (mean durations, 11.3‐13.0 ms) were seen in correlograms constructed from multiunit EMG recordings obtained from left and right diaphragm, rectus abdominis and masseter muscles. No central peaks were seen in correlograms constructed from the multiunit EMG recordings from left and right upper limb muscles. 3. To investigate descending pathways to the homologous muscle pairs, the dominant motor cortex was stimulated using a focal magnetic brain stimulator whilst recording from homologous muscle pairs. 4. Following magnetic stimulation of the dominant motor cortex, a response was recorded from both right and left diaphragm, rectus abdominis and masseter muscles. In contrast, when recording from homologous upper limb muscles, a response was only seen contralateral to the side of stimulation. 5. The finding of short duration central peaks in the cross‐correlograms constructed from multiunit recordings from left and right diaphragm, rectus abdominis and masseter, suggests that muscles such as these, that are normally co‐activated, share a common drive. The mechanism is discussed and it is argued that the time course of the central correlogram peaks is consistent with the hypothesis that they could be produced by a common drive that arises from activity in last‐order branched presynaptic fibres although presynaptic synchronization of last‐order inputs is also likely to be involved. 6. The results of the magnetic stimulation experiments suggest that this common drive may involve the corticospinal tract. 7. We saw no evidence for a common drive to left and right homologous muscle pairs that may be voluntarily co‐activated but often act independently.