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Ying Chen,1,2,* Wen-Xia Li,1,2,* Jia-Hua Wu,1,2 Geng-Hang Chen,2 Chun-Min Yang,1,2 Hai Lu,1,2 Xi Wang,3 Shu-Sen Wang,4 Heng Huang,5 Li Cai,6 Li Zhao,7 Rou-Jun Peng,8 Ying Lin,9 Jun Tang,3 Jian Zeng,10 Le-Hong Zhang,11 Yong-Li Ke,12 Xian-Ming Wang,13 Xin-Mei Liu,14 An-Qin Zhang,15 Fei Xu,4 Xi-Wen Bi,4 Jia-Jia Huang,4 Ji-Bin Li,16 Dan-Mei Pang,17 Cong Xue,4 Yan-Xia Shi,4 Zhen-Yu He,18 Huan-Xin Lin,18 Xin An,4 Wen Xia,4 Ye Cao,16 Ying Guo,16 Ruo-Xi Hong,4 Kui-Kui Jiang,4 Yong-Yi Zhong,4 Ge Zhang,19 Piyawan Tienchaiananda,20 Masahiro Oikawa,21 Zhong-Yu Yuan,4 Qian-Jun Chen22,23 1Department of Breast Surgery, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, People’s Republic of China; 2Department of Breast Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People’s Republic of China; 3Department of Breast Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China; 4Department of Medical Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China; 5Department of Breast Oncology, Lianjiang People’s Hospital, Lianjiang, People’s Republic of China; 6Department of Medical Oncology, The Affiliated Tumour Hospital of Harbin Medical University, Harbin, People’s Republic of China; 7Department of Breast Oncology, Guangzhou First People Hospital, Guangzhou, People’s Republic of China; 8Department of Integrated Therapy in Oncology, Sun Yat-sen University Cancer Center, the State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, People’s Republic of China; 9Department of Breast Oncology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, People’s Re

Purpose: To assess the alignment of GPT-4-based evaluation to human clinician experts, for the evaluation of responses to ophthalmology-related patient queries generated by fine-tuned LLM chatbots. Methods: 400 ophthalmology questions and paired answers were created by ophthalmologists to represent commonly asked patient questions, divided into fine-tuning (368; 92%), and testing (40; 8%). We find-tuned 5 different LLMs, including LLAMA2-7b, LLAMA2-7b-Chat, LLAMA2-13b, and LLAMA2-13b-Chat. For the testing dataset, additional 8 glaucoma QnA pairs were included. 200 responses to the testing dataset were generated by 5 fine-tuned LLMs for evaluation. A customized clinical evaluation rubric was used to guide GPT-4 evaluation, grounded on clinical accuracy, relevance, patient safety, and ease of understanding. GPT-4 evaluation was then compared against ranking by 5 clinicians for clinical alignment. Results: Among all fine-tuned LLMs, GPT-3.5 scored the highest (87.1%), followed by LLAMA2-13b (80.9%), LLAMA2-13b-chat (75.5%), LLAMA2-7b-Chat (70%) and LLAMA2-7b (68.8%) based on the GPT-4 evaluation. GPT-4 evaluation demonstrated significant agreement with human clinician rankings, with Spearman and Kendall Tau correlation coefficients of 0.90 and 0.80 respectively; while correlation based on Cohen Kappa was more modest at 0.50. Notably, qualitative analysis and the glaucoma sub-analysis revealed clinical inaccuracies in the LLM-generated responses, which were appropriately identified by the GPT-4 evaluation. Conclusion: The notable clinical alignment of GPT-4 evaluation highlighted its potential to streamline the clinical evaluation of LLM chatbot responses to healthcare-related queries. By complementing the existing clinician-dependent manual grading, this efficient and automated evaluation could assist the validation of future developments in LLM applications for healthcare., Comment: 13 Pages, 1 Figure, 8 Tables

Fossil pollen and spore records provide highly creditable proxy data to investigate the past environmental changes such as palaeovegetation and palaeoclimate. Pollen database promotes past environmental studies from local to regional and global scales and from qualitative to quantitative reconstructions. This is of great significance on exploring the interactions among past vegetation, climates and anthropogenic disturbances at large spatial scale and long temporal scale, to better understand the evolution of the earth system. In this paper, a fossil pollen dataset of China is compiled, by synthesizing 372 original or digitized fossil pollen records including 790 pollen taxa in China’s land and ocean during the late-Quaternary (since 50 ka BP). The dataset includes site names, latitude, longitude and altitude, pollen data source, sample type, sediment length or span, sample number of each site, dating method and dating number, age span and reference, as well as the fossil pollen percentage of each sampling site. The pollen data, mostly published from late 1980s to present, are concentrated in vegetation regions of temperate and subtropical forests, temperate grasslands, temperate deserts and alpine vegetation on the Qingzang Plateau. Sample sites are distributed at different altitudes from deep sea to high Qingzang Plateau, but the majority of the sites are located between 0–2 000 m. The dataset comprises of 178 raw pollen records (47.8%) and 194 digitized pollen records (52.2%). Pollen samples are mainly from lake sediment (151 sites), alluvial/fluvial sediment (99 sites), and peat (67 sites), accounting for 85.2% of the total sampling sites. Radiocarbon is the main dating method that accounts for 93.8% of total samples, and most of the sites have 2–10 radiocarbon dating data. Each site has an average number of pollen taxa of 19, with the most sites having 4–30 pollen taxa. The temporal and spatial distribution of representative pollen taxa (Pinus, Quercus, Artemis

We introduce a method for translating an alternating weak Büchi automaton (AWA), which corresponds to a Linear Dynamic Logic (LDL) formula, to an unambiguous Büchi automaton (UBA). Our translations generalise constructions for Linear Temporal Logic (LTL), a less expressive specification language than LDL. In classical constructions, LTL formulas are first translated to alternating very weak automata (AVAs) - automata that have only singleton strongly connected components (SCCs); the AVAs are then handled by efficient disambiguation procedures. However, general AWAs can have larger SCCs, which complicates disambiguation. Currently, the only available disambiguation procedure has to go through an intermediate construction of nondeterministic Büchi automata (NBAs), which would incur an exponential blow-up of its own. We introduce a translation from general AWAs to UBAs with a singly exponential blow-up, which also immediately provides a singly exponential translation from LDL to UBAs. Interestingly, the complexity of our translation is smaller than the best known disambiguation algorithm for NBAs (broadly (0.53n)ⁿ vs. (0.76n)ⁿ), while the input of our construction can be exponentially more succinct.

Li-Li Zhang,* Wen-Hao Wang,* Yong-Li Hou Department of Obstetrics and Gynecology, The Second Hospital of Shanxi Medical University, Taiyuan, 030000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Yong-Li Hou, Department of Obstetrics and Gynecology, The Second Hospital of Shanxi Medical University, No. 382 of Wuyi Road, Xinghualing District, Taiyuan, 030000, People’s Republic of China, Tel +86 03513382151, Email houyonglihyl@126.comObjective: To investigate the risk factors of intraoperative massive hemorrhage in patients with pernicious placenta previa (PPP) and analyze the value of bilateral internal iliac artery balloon occlusion in Cesarean section for these patients.Methods: The clinical data of 134 patients with PPP admitted to the Second Hospital of Shanxi Medical University from January 2012 to January 2019 were analyzed. A logistic regression analysis was used to analyze the risk factors for intraoperative massive hemorrhage in PPP. The study subjects were divided into the intervention group (38 cases) and the routine group (96 cases) according to whether bilateral internal iliac artery balloon occlusion was conducted during the operation. The differences in some clinical indicators were compared between the two groups.Results: The risk factors for intraoperative massive hemorrhage in PPP were age ≥ 35 years, gestational age ≥ 34 weeks, complete placenta previa, and the presence of placenta accreta. The differences in the operation time, postoperative transfer to the intensive care unit, postoperative length of the hospital stay, and neonatal weight and score were not statistically significant between the intervention group and the routine group (P > 0.05 for all). While the intraoperative blood loss and the transfusion volume in the intervention group were lower than in the routine group, the hospitalization cost was higher in the former than in the latter, and the differences wer

Xin-Ming Yang, Yong-Li Jia, Ying Zhang, Pei-Nan Zhang, Yao Yao, Yan-Lin Yin, Ye Tian Department of Orthopaedics, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000, Hebei, People’s Republic of ChinaCorrespondence: Xin-Ming YangDepartment of Orthopaedics, The First Affiliated Hospital of Hebei North University, No. 12, Changqing Road, Qiaoxi District, Zhangjiakou, 075000, Hebei, People’s Republic of ChinaTel +86 313-8046926Email yxm1120@sohu.comObjective: The purpose of this study was to determine the clinical value of triple antibiotic therapy consisting of doxycycline, compound sulfamethoxazole and rifampicin in the treatment of brucellosis spondylitis.Methods: A retrospective analysis was performed on 100 patients with brucellosis spondylitis admitted to the First Affiliated Hospital of Hebei North University from March 2016 to June 2019. Patients were divided into the following two groups: the control group (n = 50) treated with dual antibiotic therapy (rifampicin + compound sulfamethoxazole), and the observation group (n = 50) treated with triple antibiotic therapy (rifampicin + doxycycline + compound sulfamethoxazole). The treatment effect, low back pain relief, levels of erythrocyte sedimentation rate (ESR), procalcitonin (PCT) and C-reactive protein (CRP), as well as the adverse reactions were compared between the two groups.Results: The response rate of the observation group was significantly higher than that of the control group (P < 0.05). Before treatment, there was no significant difference in the low back pain assessed by the visual analogue scale (VAS), or levels of ESR, PCT and CRP between the two groups (P > 0.05). But after treatment, the VAS score and the levels of ESR, PCT and CRP in observation group were lower than those in the control group (P < 0.05). No significant difference was found in the incidence of adverse reactions (P > 0.05).Conclusion: The triple antibiotic therapy of doxycycline, compound s

Zi-Hong Liang,1 Yan-Bo Jia,2 Mei-Ling Wang,1 Zi-Ru Li,1 Min Li,1 Yong-Li Yun,1 Run-Xiu Zhu1 1Department of Neurology, Inner Mongolia Autonomous Region People’s Hospital, Huhhot, Inner Mongolia, People’s Republic of China; 2Department of Orthopaedics, The Second Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia, People’s Republic of ChinaCorrespondence: Run-Xiu ZhuDepartment of Neurology, Inner Mongolia Autonomous Region People’s Hospital, No. 20 Zhaowuda Road, Huhhot, Inner Mongolia010017, People’s Republic of ChinaTel +86 0 471 328 3999Fax +86 0 471 328 3999Email xcinhah-21@foxmail.comBackground: Post-stroke depression (PSD) is one of the most common psychiatric diseases afflicting stroke survivors. This study was conducted to assess the efficacy of ginkgo biloba extract as augmentation of venlafaxine in treating PSD.Methods: The included PSD patients were randomly assigned into the experiment group (receiving ginkgo biloba extract plus venlafaxine) and control group (receiving venlafaxine alone). The treatment was continued for eight weeks. The Hamilton Depression Rating Scale (HDRS) and the Self-rating Depression Scale (SDS) were used to assess the depressive symptoms. The National Institutes of Health Stroke Scale (NIHSS) was used to assess the neurological defect, and the Activities of Daily Living (ADL) was used to assess recovery of abilities of patients after stroke. Meanwhile, the levels of serum 5-hydroxytryptamine (5-HT) and brain-derived neurotrophic factor (BDNF) were measured before and after treatment. The dose of venlafaxine used and adverse events were also recorded.Results: Each group had 40 PSD patients. After treatment, the depressive symptoms, neurological defect and living function were significantly improved in both groups. But the patients receiving ginkgo biloba extract plus venlafaxine had the signi

Zi-Hong Liang,1 Yan-Bo Jia,2 Zi-Ru Li,1 Min Li,1 Mei-Ling Wang,1 Yong-Li Yun,1 Li-Jun Yu,1 Lei Shi,1 Run-Xiu Zhu11Department of Neurology, Inner Mongolia Autonomous Region People’s Hospital, Huhhot, Inner Mongolia, People’s Republic of China; 2Department of Orthopaedics, The Second Affiliated Hospital of Inner Mongolia Medical University, Huhhot, Inner Mongolia, People’s Republic of ChinaBackground: Depression can seriously affect the quality of life of type 2 diabetes mellitus (T2DM) patients after stroke. However, there were still no objective methods to diagnose T2DM patients with poststroke depression (PSD). Therefore, we conducted this study to deal with this problem.Methods: Gas chromatography-mass spectroscopy (GC-MS)-based metabolomics profiling method was used to profile the urinary metabolites from 83 nondepressed T2DM patients after stroke and 101 T2DM patients with PSD. The orthogonal partial least-squares discriminant analysis was conducted to explore the metabolic differences in T2DM patients with PSD. The logistic regression analysis was performed to identify the optimal and simplified biomarker panel for diagnosing T2DM patients with PSD. The receiver operating characteristic curve analysis was used to assess the diagnostic performance of this biomarker panel.Results: In total, 23 differential metabolites (7 decreased and 16 increased in T2DM patients with PSD) were found. A panel consisting of pseudouridine, malic acid, hypoxanthine, 3,4-dihydroxybutyric acid, fructose and inositol was identified. This panel could effectively separate T2DM patients with PSD from nondepressed T2DM patients after stroke. The area under the curve was 0.965 in the training set and 0.909 in the validation set. Meanwhile, we found that the galactose metabolism was significantly affected in T2DM patients with PSD.Conclusion: Our results could be helpful for future development of an objective method to diagnose T2DM patients with PSD and provid

Here we analyse genetic variation, population structure and diversity among 3,010 diverse Asian cultivated rice (Oryza sativa L.) genomes from the 3,000 Rice Genomes Project. Our results are consistent with the five major groups previously recognized, but also suggest several unreported subpopulations that correlate with geographic location. We identified 29 million single nucleotide polymorphisms, 2.4 million small indels and over 90,000 structural variations that contribute to within- and between-population variation. Using pan-genome analyses, we identified more than 10,000 novel full-length protein-coding genes and a high number of presence–absence variations. The complex patterns of introgression observed in domestication genes are consistent with multiple independent rice domestication events. The public availability of data from the 3,000 Rice Genomes Project provides a resource for rice genomics research and breeding.

Here we analyse genetic variation, population structure and diversity among 3,010 diverse Asian cultivated rice (Oryza sativa L.) genomes from the 3,000 Rice Genomes Project. Our results are consistent with the five major groups previously recognized, but also suggest several unreported subpopulations that correlate with geographic location. We identified 29 million single nucleotide polymorphisms, 2.4 million small indels and over 90,000 structural variations that contribute to within- and between-population variation. Using pan-genome analyses, we identified more than 10,000 novel full-length protein-coding genes and a high number of presence–absence variations. The complex patterns of introgression observed in domestication genes are consistent with multiple independent rice domestication events. The public availability of data from the 3,000 Rice Genomes Project provides a resource for rice genomics research and breeding.

With the extensive application of the concept of green traffic, the relationship between the driving characteristics of different drivers and energy consumption and traffic performance conditions, etc. is gradually becoming a research hotspot. Based on bus status data recorded by travel data recorders with a vehicle-mounted satellite positioning function and in view of external bus behaviours and driver’s performance, a bus driving characteristic model of drivers is established. A time-space analysis model of the driving characteristics of different drivers based on traffic performance index is also established through fuzzy association rules and a type-2 fuzzy set prediction algorithm. Test results show that the prediction algorithm can accurately describe the time-space relationship between the traffic congestion index and bus driving characteristic model and achieve relatively high prediction accuracy. The problem of the lagging release of traffic performance index caused by massive calculation for floating vehicle data can be effectively solved through this algorithm, which can serve as an important reference for analyzing traffic performance conditions, as well as the energy conservation and emission reduction of buses.

Shuang-xiang Tan,1,2 Rui-cheng Hu,1,2 Qian Xia,2 Yong-li Tan,1 Jing-jing Liu,1 Gui-xiang Gan,1 Li-le Wang1 1Hunan Province Institute of Gerontology, Hunan Provincial People’s Hospital/The First Affiliated Hospital of Hunan Normal University, Changsha, China; 2Department of Respiratory Medicine, Hunan Provincial People’s Hospital/The First Affiliated Hospital of Hunan Normal University, Changsha, China Background: Non–small cell lung cancer (NSCLC) is one of the leading malignant tumors worldwide. Aberrant gene promoter methylation contributes to NSCLC, and PRDM is a tumor suppressor gene family that possesses histone methyltransferase activity. This study aimed to investigate whether aberrant methylation of PRDM promoter is involved in NSCLC. Materials and methods: Primary tumor tissues, adjacent nontumorous tissues, and distant lung tissues were collected from 75 NSCLC patients including 52 lung squamous cell carcinoma (LSCC) patients and 23 lung adenocarcinoma patients. The expression of PRDMs was detected by polymerase chain reaction (PCR), Western blot, and immunohistochemical analysis. The methylation of PRDM promoters was detected by methylation-specific PCR. The correlation of methylation and expression of PRDMs with clinicopathological characteristics of patients were analyzed. Results: mRNA expression of PRDM2, PRDM5, and PRDM16 was low or absent in tumor tissues compared to distant lung tissues. The methylation frequencies of PRDM2, PRDM5, and PRDM16 in tumor tissues were significantly higher than those in distal lung tissues. In LSCC patients, methylation of PRDM2 and PRDM16 was correlated with smoking status and methylation of PRDM5 was correlated with tumor differentiation. Conclusion: The expression of PRDM2, PRDM5, and PRDM16 is low or absent in NSCLC, and this is mainly due to gene promoter methylation. Smoking may be an important cause of PRDM2 and PRDM16 methylation in NSCLC. Keywords: lung tumor, PR domain zinc finger

Bacterial blight, which is caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating rice diseases worldwide. The development and use of disease-resistant cultivars have been the most effective strategy to control bacterial blight. Identifying the genes mediating bacterial blight resistance is a prerequisite for breeding cultivars with broad-spectrum and durable resistance. We herein describe a genome-wide association study involving 172 diverse Oryza sativa ssp. indica accessions to identify loci influencing the resistance to representative strains of six Xoo races. Twelve resistance loci containing 121 significantly associated signals were identified using 317,894 single nucleotide polymorphisms, which explained 13.3–59.9% of the variability in lesion length caused by Xoo races P1, P6, and P9a. Two hotspot regions (L11 and L12) were located within or nearby two cloned R genes (xa25 and Xa26) and one fine-mapped R gene (Xa4). Our results confirmed the relatively high resolution of genome-wide association studies. Moreover, we detected novel significant associations on chromosomes 2, 3, and 6–10. Haplotype analyses of xa25, the Xa26 paralog (MRKc; LOC_Os11g47290), and a Xa4 candidate gene (LOC_11g46870) revealed differences in bacterial blight resistance among indica subgroups. These differences were responsible for the observed variations in lesion lengths resulting from infections by Xoo races P1 and P9a. Our findings may be relevant for future studies involving bacterial blight resistance gene cloning, and provide insights into the genetic basis for bacterial blight resistance in indica rice, which may be useful for knowledge-based crop improvement.

Objective. The aims of this study were to analyze the risk factors for and types of new-onset arrhythmias in ICU (Intensive care unit), and to evaluate their impact on patient outcomes. Methods. We studied 1051 patients who were admitted to the two general ICUs between December 2013 and February 2016. These patients were divided into two groups: patients with new-onset arrhythmias and patients without new-onset arrhythmias. We compared the risk factors, types and prognoses of new-onset arrhythmias between these two groups. Results. New-onset arrhythmias were observed in 20.84% (n=219) of 1051 patients. The main risk factors leading to arrhythmias included age, emergency operation, past cardiovascular disease, patients with multiple systemic diseases, acute respiratory distress syndrome, severe sepsis/septic shock, acute renal dysfunction, cardiovascular disease, electrolyte disturbance, patients on ventilators, patients on vasopressors and higher Acute Physiology and Chronic Health Evaluation II scores (APACHE II score) on ICU admission. Multivariate logistic regression revealed that age, emergency operation, severe sepsis/septic shock, cardiovascular disease, electrolyte disturbance, patients on ventilators and those with higher APACHE II scores on ICU admission, were all significantly associated with new-onset arrhythmias. Arial fibrillation was the most frequent arrhythmia. ICU mortality in patients with newonset arrhythmias was 22.37% (49 out of 219) compared with 3.61% (30 out of 832) in patients without new-onset arrhythmias (p<0.001). Among surviving patients, ICU stay for those with new-onset arrhythmias was longer than those without new-onset arrhythmias (median stay of 10 days versus 5 days, p<0.001). Conclusion. We found a high prevalence of new-onset arrhythmias in ICU patients. Arrhythmia, especially atrial fibrillation, was a common complication in ICU patients and was associated with increasing length of ICU stay and higher mortality.

Bacterial blight, which is caused by Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating rice diseases worldwide. The development and use of disease-resistant cultivars have been the most effective strategy to control bacterial blight. Identifying the genes mediating bacterial blight resistance is a prerequisite for breeding cultivars with broad-spectrum and durable resistance. We herein describe a genome-wide association study involving 172 diverse Oryza sativa ssp. indica accessions to identify loci influencing the resistance to representative strains of six Xoo races. Twelve resistance loci containing 121 significantly associated signals were identified using 317,894 single nucleotide polymorphisms, which explained 13.3–59.9% of the variability in lesion length caused by Xoo races P1, P6, and P9a. Two hotspot regions (L11 and L12) were located within or nearby two cloned R genes (xa25 and Xa26) and one fine-mapped R gene (Xa4). Our results confirmed the relatively high resolution of genome-wide association studies. Moreover, we detected novel significant associations on chromosomes 2, 3, and 6–10. Haplotype analyses of xa25, the Xa26 paralog (MRKc; LOC_Os11g47290), and a Xa4 candidate gene (LOC_11g46870) revealed differences in bacterial blight resistance among indica subgroups. These differences were responsible for the observed variations in lesion lengths resulting from infections by Xoo races P1 and P9a. Our findings may be relevant for future studies involving bacterial blight resistance gene cloning, and provide insights into the genetic basis for bacterial blight resistance in indica rice, which may be useful for knowledge-based crop improvement.

Objective. The aims of this study were to analyze the risk factors for and types of new-onset arrhythmias in ICU (Intensive care unit), and to evaluate their impact on patient outcomes. Methods. We studied 1051 patients who were admitted to the two general ICUs between December 2013 and February 2016. These patients were divided into two groups: patients with new-onset arrhythmias and patients without new-onset arrhythmias. We compared the risk factors, types and prognoses of new-onset arrhythmias between these two groups. Results. New-onset arrhythmias were observed in 20.84% (n=219) of 1051 patients. The main risk factors leading to arrhythmias included age, emergency operation, past cardiovascular disease, patients with multiple systemic diseases, acute respiratory distress syndrome, severe sepsis/septic shock, acute renal dysfunction, cardiovascular disease, electrolyte disturbance, patients on ventilators, patients on vasopressors and higher Acute Physiology and Chronic Health Evaluation II scores (APACHE II score) on ICU admission. Multivariate logistic regression revealed that age, emergency operation, severe sepsis/septic shock, cardiovascular disease, electrolyte disturbance, patients on ventilators and those with higher APACHE II scores on ICU admission, were all significantly associated with new-onset arrhythmias. Arial fibrillation was the most frequent arrhythmia. ICU mortality in patients with newonset arrhythmias was 22.37% (49 out of 219) compared with 3.61% (30 out of 832) in patients without new-onset arrhythmias (p<0.001). Among surviving patients, ICU stay for those with new-onset arrhythmias was longer than those without new-onset arrhythmias (median stay of 10 days versus 5 days, p<0.001). Conclusion. We found a high prevalence of new-onset arrhythmias in ICU patients. Arrhythmia, especially atrial fibrillation, was a common complication in ICU patients and was associated with increasing length of ICU stay and higher mortality.

Odnos između potrošnje energije autobusa i prometnih uvjeta postupno je privukao istraživačku pozornost sa širenjem koncepta zelenog transporta i promocijom novih energetskih autobusa. U skladu s ovim razvojem, ova studija razvija prostorno-vremenski model procjene preostale energije za potpuno električne autobuse s algoritmima neizrazitog grupiranja i neizrazitim vremenskim nizovima. Ovi algoritmi se temelje na indeksu učinka prometa cestovnih dionica između najbližih autobusnih stanica. Nadalje, oni se uspostavljaju prema položajima vozila u prometu i autobusnim rutama u kombinaciji s podacima o potrošnji energije koji proizlaze iz sustava upravljanja baterijama potpuno električnih autobusa. Rezultati ispitivanja pokazuju da ti algoritmi procjene mogu točno opisati prostorno-vremenski odnos između indeksa učinka prometa i preostale energije u potpuno električnim autobusima. Tako se oni mogu primijeniti kao značajne reference u analizi prometnih uvjeta, očuvanja energije i smanjenja emisija za autobuse., The relationship between the energy consumption of buses and traffic conditions has gradually garnered research attention with the expansion of the green transportation concept and the promotion of new energy buses. In line with these developments, this study develops a spatial–temporal estimation model of residual energy for pure electric buses with fuzzy clustering and time-series algorithms. These algorithms are based on the traffic performance index of the road sections between the nearest bus stops. Furthermore, they are established according to the positions of floating vehicles and the bus routes in combination with the energy consumption data derived from the battery management system of pure electric buses. Test results show that these estimation algorithms can accurately describe the spatial–temporal relationship between traffic performance index and the residual energy in pure electric buses. Thus, they can be applied as significant references in the analysis of traffic conditions, energy conservation, and emission reduction for buses.

EL CONOCIMIENTO NIVEL DE CONOCIMIENTO CARIES DENTAL ENFERMEDAD PERIODONTAL PREVENCIÓN EN SALUD ORAL SALUD BUCAL SALUD HIGIENE EN LA DENTICIÓN DECIDUA RESULTADOS

EL CONOCIMIENTO NIVEL DE CONOCIMIENTO CARIES DENTAL ENFERMEDAD PERIODONTAL PREVENCIÓN EN SALUD ORAL SALUD BUCAL SALUD HIGIENE EN LA DENTICIÓN DECIDUA RESULTADOS

EL CONOCIMIENTO NIVEL DE CONOCIMIENTO CARIES DENTAL ENFERMEDAD PERIODONTAL PREVENCIÓN EN SALUD ORAL SALUD BUCAL SALUD HIGIENE EN LA DENTICIÓN DECIDUA RESULTADOS

The life-span of cat erythrocytes at approximately 73 days is shorter than that of the dog at approximately 120 days. Thus, cats are more prone to develop anaemia than dogs. In fact, anaemia is one the most common condition among cats referred to the University Veterinary Hospital (UVH), Universiti Putra Malaysia (UPM). No study has been done to characterise the type of anaemia in cats referred to UVH. Thus, the objective of this this study is to determine the classification and aetiologies of feline anaemia cases in UVH, with respect to bone marrow response. Retrospective clinical records from year 2015 were obtained and analysed. There were 162 anaemic cats, of various ages, of which 55.56% (n=90) and 44.44% (n=72)had non-regenerative and regenerative anaemia respectively. Among these cats, 65 (40.12%) were kept indoors, 59 (36.42%) were semi-roamers, and 38 (23.46%) were outdoor cats. Of vaccinated and dewormed cats, 13 (52%) cats had non-regenerative anaemia while 12 (48%) had regenerative anaemia. Among 52 cats infested with fleas,69.2% were diagnosed with hemotropic mycoplasma. Of the 52 cats, 81 % and 19 % had regenerative anaemia and non-regenerative anaemia respectively. The most common clinical signs observed in anaemic cats were dehydration, pallor, distended abdomen, and jaundice. The most common cause of anaemia in cats were infectious diseases, traumatic injury, and metabolic disorders. Sixty percent (n=18) of cats positive for either FeLV or FIV or both had non-regenerative anaemia while 40% (n=12) had regenerative anaemia. There was no significant (p>0.05) association between gender, vaccination, deworming, age, or management andthe regenerative status of anaemia. However, there wasa significant (p<0.05) positive association between flea infestation, FeLV and FIV infections and theregenerative status of anaemia in cats.

The life-span of cat erythrocytes at approximately 73 days is shorter than that of the dog at approximately 120 days. Thus, cats are more prone to develop anaemia than dogs. In fact, anaemia is one the most common condition among cats referred to the University Veterinary Hospital (UVH), Universiti Putra Malaysia (UPM). No study has been done to characterise the type of anaemia in cats referred to UVH. Thus, the objective of this this study is to determine the classification and aetiologies of feline anaemia cases in UVH, with respect to bone marrow response. Retrospective clinical records from year 2015 were obtained and analysed. There were 162 anaemic cats, of various ages, of which 55.56% (n=90) and 44.44% (n=72)had non-regenerative and regenerative anaemia respectively. Among these cats, 65 (40.12%) were kept indoors, 59 (36.42%) were semi-roamers, and 38 (23.46%) were outdoor cats. Of vaccinated and dewormed cats, 13 (52%) cats had non-regenerative anaemia while 12 (48%) had regenerative anaemia. Among 52 cats infested with fleas,69.2% were diagnosed with hemotropic mycoplasma. Of the 52 cats, 81 % and 19 % had regenerative anaemia and non-regenerative anaemia respectively. The most common clinical signs observed in anaemic cats were dehydration, pallor, distended abdomen, and jaundice. The most common cause of anaemia in cats were infectious diseases, traumatic injury, and metabolic disorders. Sixty percent (n=18) of cats positive for either FeLV or FIV or both had non-regenerative anaemia while 40% (n=12) had regenerative anaemia. There was no significant (p>0.05) association between gender, vaccination, deworming, age, or management andthe regenerative status of anaemia. However, there wasa significant (p<0.05) positive association between flea infestation, FeLV and FIV infections and theregenerative status of anaemia in cats.

U ovom se istraživanju primjenjuje algoritam najvećeg Lyapunovog eksponenta za predviđanje tipova greške u mreži bežičnog senzora "Interneta poljoprivrednih stvari". Podaci o greški u sustavu dobiveni su od Interneta poljoprivrednih stvari, koji se sastoji od mreže kalibriranog TDR senzora vlage tla u svrhu razvijanja modela za predviđanje nestabilnosti greške senzora na temelju algoritma najvećeg Lyapunovog eksponenta. U svrhu provjere primjenjivosti tog modela u predviđanju uzoraka za uvježbavanje pod različitim uvjetima, u ovom se istraživanju ispituje i uspoređuje takav algoritam s modelom C4.5 algoritma kao prikaza podataka o grešci za različite postotke uzoraka za uvježbavanje. Metoda najvećeg Lyapunovog eksponenta za predviđanje nestabilnosti primjenjuje se također na niz za uvježbavanje koji uglavnom uključuje normalne podatke. Algoritmom se postiže točnost predviđanja od 90,43 %, što je 5,55 % više nego kod algoritma C4.5 (84,88 %). Različiti algoritmi pokazuju određeni stupanj prilagodljivosti u različitim uvjetima primjene. Metodom najvećeg Lyapunovog eksponenta za predviđanje nestabilnosti postižu se bolji rezultati kad se koriste mnogi autentični primjeri. Rezultati testa prilagodljivosti primjene pokazuju da model predviđanja nestabilnosti greške senzora zasnovan na algoritmu najvećeg Lyapunovog eksponenta omogućuje pouzdan pristup za dobivanje informacija o greški senzora i predviđanje grešaka u Internetu Poljoprivrednih Stvari., This study uses the largest Lyapunov exponent algorithm to predict the fault types in the wireless sensor network of the Internet of Agricultural Things. System fault data are collected from the Internet of Agricultural Things, which is composed of a calibrated TDR soil moisture sensor network, to develop a sensor fault instability prediction model based on the largest Lyapunov exponent algorithm. To verify the applicability of this model in forecasting training samples under various conditions, this study tests and compares such algorithm with the C4.5 algorithm model as a fault data account for different percentages of training samples. The largest Lyapunov exponent instability prediction method is also applied on the training set that mostly comprises normal data. The algorithm achieves a prediction accuracy of 90,43 %, which is 5,55 % higher than that of the C4.5 algorithm (84,88 %). Different algorithms demonstrate a certain degree of adaptability in various application conditions. The largest Lyapunov exponent instability prediction method achieves better results when many accurate samples are used. The results from the application adaptability test show that the sensor fault instability prediction model based on the largest Lyapunov exponent algorithm provides a reliable approach for collecting sensor fault information collection and predicting faults in the Internet of Agricultural Things.

Background Bacterial blight, caused by Xanthomonas oryzae pv. oryzae ( Xoo ), is a devastating rice disease worldwide. Xa39 is a resistance ( R ) gene with a broad-spectrum hypersensitive response (BSHR) to Xoo . Nevertheless, the molecular mechanisms of resistance mediated by Xa39 remain unclear. In this study, the transcriptome profiling of a rice line carrying Xa39 and its parents at the early stage of Xoo infection were investigated. Results A rice introgression line H471 carrying Xa39 exhibited a typical local hypersensitive response phenotype, accompanied by programmed cell death after inoculation with the Xoo Philippines’ race 9b. Transcriptome profiling of H471 and its parents at 1 and 2days post-inoculation was performed using RNA sequencing. In total, 306 differentially expressed genes (DEGs) were identified in H471 compared with its recurrent parent Huang-Hua-Zhan after inoculation with Xoo . Among them, 121 (39.5%) genes, with functional enrichments that were related to defense response, protein amino acid phosphorylation, and apoptosis, were found to be constitutively expressed. The other 185 (60.5%) genes, with GO terms that belonged to defense response, were significantly responsive to Xoo infection in H471. Ten up-regulated and 12 down-regulated genes encoding intracellular immune receptors were identified in H471 compared with Huang-Hua-Zhan. LOC_Os11g37759, which was located in the fine-mapping region harboring Xa39 , is a Xa39 candidate gene. The putative BSHR-related co-regulatory networks were constructed using 33 DEGs from four functional groups, including gibberellic acid receptors and brassinosteroid regulators, which were differentially co-expressed with LOC_Os11g37759 in infected H471. Our results indicated that there might be cross-talk between the Xa39-mediated signal transduction cascades and the GA/BR signaling pathway, and that the defense mechanism was related to diverse kinases, transcription factors, post-translational reg

Image sensing at a small scale is essentially important in many fields, including microsample observation, defect inspection, material characterization and so on. However, nowadays, multi-directional micro object imaging is still very challenging due to the limited field of view (FOV) of microscopes. This paper reports a novel approach for multi-directional image sensing in microscopes by developing a rotatable robot. First, a robot with endless rotation ability is designed and integrated with the microscope. Then, the micro object is aligned to the rotation axis of the robot automatically based on the proposed forward-backward alignment strategy. After that, multi-directional images of the sample can be obtained by rotating the robot within one revolution under the microscope. To demonstrate the versatility of this approach, we view various types of micro samples from multiple directions in both optical microscopy and scanning electron microscopy, and panoramic images of the samples are processed as well. The proposed method paves a new way for the microscopy image sensing, and we believe it could have significant impact in many fields, especially for sample detection, manipulation and characterization at a small scale. © 2015 by the authors; licensee MDPI, Basel, Switzerland.