Human Life Research Articles

Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards

Food computing, a newly emerging topic, is closely linked to human life through computational methodologies. Meal recommendation, a food-related study about human health, aims to provide users a meal with courses constrained from specific categories (e.g., appetizers, main dishes) that can be enjoyed as a service. Historical interaction data, important user information, is often used by existing models to learn user preferences. However, if a user’s preferences favor less healthy meals, the model will follow that preference and make similar recommendations, potentially negatively impacting the user’s long-term health. This emphasizes the necessity for health-oriented and responsible meal recommendation systems. In this article, we propose a healthiness-aware and category-wise meal recommendation model called CateRec, which boosts healthiness exposure by using nutritional standards as knowledge to guide the model training. Two fundamental questions are raised and answered: (1) How can the healthiness of meals be evaluated? Two well-known nutritional standards from the World Health Organization and the United Kingdom Food Standards Agency are used to calculate the healthiness score of the meal. (2) How can the model training be guided in a health-oriented manner? We construct category-wise personalization partial rankings and category-wise healthiness partial rankings, and theoretically analyze that they meet the necessary properties and assumptions required to be trained by the maximum posterior estimator under Bayesian probability. The data analysis confirms the existence of user preferences leaning towards less healthy meals in two public datasets. A comprehensive experiment demonstrates that our CateRec effectively boosts healthiness exposure in terms of mean healthiness score and ranking exposure while being comparable to the state-of-the-art model in terms of recommendation accuracy.

Spatial patterns and environmental functions of dissolved organic matter in grassland soils of China

Soil dissolved organic matter (DOM) is crucial to atmospheric, terrestrial and aquatic environments as well as human life. Here, by characterizing DOM from 89 grassland soils throughout China, we reveal the spatial association between DOM geochemistry in the dry season vs annual ecosystem exchange and cancer cases. The humic-like and high molecular weight (3.4–25 kDa) fractions with lower biodegradability, decline from the northern to the southern regions of China, and are correlated with lower soil respiration and net ecosystem productivity at the continental scale. The <1.2 kDa and proteinaceous fractions could serve as a geographical indicator of nasopharyngeal cancer incidence and mortality, while the 3.4–25 kDa and humified fractions are potentially associated with pancreatic cancer cases (P < 0.05). Our findings highlight that exploiting the environmental functions of soil DOM and mitigating the negative impacts are necessary, and require actions tailored to local soil DOM conditions.

Projected Increase in Heatwaves under 1.5 and 2.0 °C Warming Levels Will Increase the Socio-Economic Exposure across China by the Late 21st Century

The impending challenge posed by escalating heatwave events due to projected global warming scenarios of 1.5 and 2.0 °C underscores the critical need for a comprehensive understanding of their impact on human health and socio-economic realms. This study delves into the anticipated implications of elevated global temperatures, specifically the 1.5 and 2.0 °C warming scenarios under the SSP2-4.5 and SSP5-8.5 pathways, on population and GDP exposure to heatwaves in China. We also evaluated the aggregated impacts of climate, population, and GDP and their interactions on future socio-economic exposure across China. We leveraged data sourced from the climatic output of Coupled Model Intercomparison Project Phase 6 (CMIP6) for heatwave analysis and integrated population and GDP projections under divergent Shared Socio-economic Pathways (SSPs), including SSP2-4.5 (low emission) and SSP5-8.5 (high-emission). Results indicate a drastic surge in the number of heatwave days under both warming scenarios, particularly in regions like Xinjiang (XJ), North China (NC), and South China (SC) subregions, with a notable disparity in the elevation of heatwave days among different levels. There is an alarming surge in population exposure, escalating approximately 7.94–8.70 times under the 1.5 °C warming scenario and markedly increasing by 14.48–14.75 times by the 2100s relative to the baseline (1985–2014) under the more extreme 2.0 °C warming level. Likewise, the study unveils a substantial elevation in GDP exposure, ranging from 40.65 to 47.21 times under the 1.5 °C warming level and surging dramatically by 110.85–113.99 times under the 2.0 °C warming level. Further analyses disclose that the climate effect predominantly influences changes in population exposure, constituting 72.55–79.10% of the total change. Meanwhile, the interaction effect notably shapes GDP exposure alterations, contributing 77.70–85.99% to the total change. The comprehensive investigation into alterations in population and GDP exposure under varying warming scenarios, coupled with the quantification of each contributing factor, holds paramount importance in mitigating the detrimental repercussions of heatwaves on both human life and socio-economic landscapes.

Morpho-physiological and biochemical characterization of Kinnow (Citrus reticulata) in response to canker pathogens (Xanthomonas axonopodis pv. citri)

Fruits play an important role in human life on our planet, since they supply a variety of essential services. One of the paramount crops in Pakistan is Citrus reticulata (Kinnow), which plays a vital role in the country's economy. The citrus crops are confronted with various challenges such as fungi, bacteria, nematodes, and viruses, all of which have adverse effects on the quality and yield of the fruits. Citrus canker, in particular, stands as the most fatal disease, affecting numerous citrus species worldwide, inflicting devastating consequences. The objective of this study was to evaluate the impact of citrus canker on the morphology, physiology of leaves, and the quality of citrus fruits. The research was conducted in four major citrus-producing tehsils of the Sargodha district. The study found significant differences in morphological and physiological traits between healthy fruits and those infected with citrus canker. Healthy fruits exhibited higher values in fruit weight (FW) of 149.02 g, peel thickness (PT) of 3.76 g, rag weight (RW) of 35.95 g, leaf area (LA) of 22.49 cm2, and juice weight compared to the citrus canker-infected fruits. The significant variations in fruit weight, juice weight, chlorophyll content, vitamin C content were present between healthy and diseased fruits and leaves. A biochemical study revealed that healthy fruits had greater levels of total soluble solids (TSS), TSS-acid ratio, vitamin C, and reducing power (RP), but citrus canker-infected fruits had a higher acidity percentage. The significant decreases in important morphological and physicochemical characteristics, emphasizing the necessity for immediate disease control techniques to safeguard the citrus sector and maintain food security.

Association Relationship Analysis in Finding Sales of Goods With Apriori Algorithm

Technology can be designed to help human life from all aspects ranging from agriculture, health science, industry and daily life. Toko Intan, a business engaged in the sale of basic and daily necessities. Every day, Toko Intan records every sales transaction in an archive stored in Microsoft Excel, containing data on goods sold every day. The purpose of this research is to find out what items are bought simultaneously by consumers to manage inventory, with the data mining method used in this research is the Association Rules method. Association Rules is one of the data mining techniques from the a priori algorithm which functions to find a combination pattern of an item. Tests carried out to process data in this study using the RapidMiner application, from tests carried out with the specified parameters, namely minimum support 30% and minimum confidence 65%, resulted in a lift ratio validation rule of 1.206. Personal Care Biscuits with 30.8% support and 90.9% confidence with a validation lift ratio of 1.206. Sales transaction data analysis can be applied well, and is able to generate a new association rule from the sales transaction dataset. With this research, it is hoped that it can provide information to the owner of the Intan store in providing the stock of goods needed by consumers and to find out the combination of item sets from the sales transaction dataset.

Long-term grassland diversity-productivity relationship regulated by management regimes in northern China

Grasslands are the most extensively distributed terrestrial ecosystems on Earth, providing a range of ecosystem services that are vital for sustaining human life and critical for sustainable development at the global scale. However, the relationship between the two most important attributes of grassland, plant diversity, and productivity, remains controversial even after many years of research. Here, we develop an analysis of covariance (ANCOVA) model based on decadal-scale experimental data from a degraded meadow steppe in northeastern Inner Mongolia, China to quantify the response of aboveground biomass (AGB) to plant species diversity under varying management regimes. We report that AGB responds negatively to the plant diversity in fallow grasslands and positively in grazing grasslands, transiting from negative to positive in mowing grasslands as mowing became more frequent. We show that the changing diversity-productivity relationships are driven by changes in species composition of the plant community, given the significant productivity gap between rare and non-rare species. This highlights the role of management in regulating the diversity-productivity relationships in grasslands. These results not only provide provocative insights into the relationships between plant diversity and productivity but also support more sustainable use and management of grassland resources.

Postoperative body weight change and its influencing factors in patients with gastric cancer.

The high incidence and mortality of gastric cancer (GC) pose a significant threat to human life and health, and it has become an important public health challenge in China. Body weight loss is a common complication after surgical treatment in patients with GC and is associated with poor prognosis and GC recurrence. However, current attention to postoperative weight change in GC patients remains insufficient, and the descriptions of postoperative weight change and its influencing factors are also different. To investigate body weight changes in patients with GC within 6 mo after gastrectomy and identify factors that influence dynamic body weight changes. We conducted a prospective longitudinal study of 121 patients with GC and collected data before (T0) and 1 (T1), 3 (T2), and 6 (T3) mo after gastrectomy using a general data questionnaire, psychological distress thermometer, and body weight measurements. The general estimation equation (GEE) was used to analyze the dynamic trends of body weight changes and factors that influence body weight changes in patients with GC within 6 mo of gastrectomy. The median weight loss at T1, T2, and T3 was 7.29% (2.84%, 9.40%), 11.11% (7.64%, 14.91%), and 14.75% (8.80%, 19.84%), respectively. The GEE results showed that preoperative body mass index (BMI), significant psychological distress, religious beliefs, and sex were risk factors for weight loss in patients with GC within 6 mo after gastrectomy (P < 0.05). Compared with preoperative low-weight patients, preoperative obese patients were more likely to have weight loss (β = 14.685, P < 0.001). Furthermore, patients with significant psychological distress were more likely to lose weight than those without (β = 2.490, P < 0.001), and religious patients were less likely to lose weight 6 mo after gastrectomy than those without religious beliefs (β = -6.844, P = 0.001). Compared to female patients, male patients were more likely to experience weight loss 6 mo after gastrectomy (β = 4.262, P = 0.038). Male patients with GC with high preoperative BMI, significant psychological distress, and no religious beliefs are more likely to lose weight after gastrectomy.

The hawkmoth proboscis: an insect model for sensorimotor control of reaching and exploration.

Reaching and inspecting objects is an intricate part of human life, which is shared by a diversity of animals across phyla. In addition to appendages like legs and antennae, some insects use their mouthparts to reach and inspect targets. Hawkmoths of the family Sphingidae (Lepidoptera) use their extremely long and straw-like proboscis to drink nectar from flowers. As they approach flowers, hawkmoths uncoil their proboscis and explore the floral surface while hovering to target the proboscis to the nectary hole. Several sensory modalities provide feedback to control and guide these extremely versatile proboscis movements. The control task faced by the hawkmoths' nervous system during such behaviors in not unlike that of an animal guiding limbs or a robotic agent guiding a manipulator to a target. Hawkmoths perform these reaching maneuvers while simultaneously hovering, and hence require rapid and continuous coordination between the proboscis, neck and and flight motor systems, thereby providing a unique invertebrate model for studying appendage guidance and reaching. Here, we review what is known about how hawkmoths use their proboscis for floral inspection and nectar discovery, as well as the role of various sensors in proboscis guidance. We give a brief overview of the morphology and muscular apparatus of the hawkmoth proboscis, and discuss how multimodal sensory feedback might be turned into motor action for appendage guidance.

Remediation of lead toxicity with waste-bio materials from aqueous solutions in fixed-bed column using response surface methodology

Heavy metal ions pose significant risks to human health, pelagic, and several other life forms due to perniciousness, tendency to accumulate, and resistance to biodegradation. Waste bio-materials extend a budding alternative as low-cost adsorbent to address the removal of noxious pollutants from wastewater on account of being cost-effective and exhibiting exceptional adsorption capacities. The current exploration was accomplished to gauge the performance of raw and modified human hair concerning lead scavenging in a down-flow fixed bed column. The appraisal of column performance under varying operational parameters encompassing bed height (15–45 cm), influent metal ion concentration (60–140 mg L−1), and a solution flow rate (20–40 mL min−1) was performed by breakthrough curve analysis. The consequences acquired were evaluated using the Yoon Nelson, Thomas, Adam-Bohart, and Bed Depth Service Time (BDST) model. Among these employed models, Bed Depth Service Time (BDST) and Thomas models exhibited the highest R-squared value compared to the Yoon Nelson and Adam-Bohart's model for most cases. In addition, the optimization of lead adsorption was followed using the Box-Behnken design of response surface methodology (RSM). The optimal conditions (desirability-1.00) for achieving a goal of maximum percent removal of lead ions were marked to be a bed height of 42.79 cm, solution flow rate of 20.92 mL min−1, and an initial metal concentration of 139.51 mg L−1. Under these optimized conditions, the percent amputation of lead in a fixed bed was observed to be 82.31 %, while the results of the experiment performed approximately under these optimized conditions revealed a percent removal of 85.05 %, reflecting a reasonable conformity with values acquired through Box-Behnken design.

How young children use manifest emotions and dominance cues to understand social rules: a registered report

ABSTRACT Given the complexity of human social life, it is astonishing to observe how quickly children adapt to their social environment. To be accepted by the other members, it is crucial to understand and follow the rules and norms shared by the group. How and from whom do young children learn these social rules? In the experiments, based on the crucial role of affective social learning and dominance hierarchies in simple rule understanding, we showed 15-to-23-month-olds and 3-to-5-year-old children videos where the agents’ body size and affective cues were manipulated. In the dominant rule-maker condition, when a smaller protagonist puts an object in one location, a bigger agent reacts with a positive reaction; on the contrary, when the smaller protagonist puts an object in another location, the bigger agent displays a negative reaction. In the subordinate rule-maker condition, the roles are shifted but the agents differ. Toddlers expect the protagonist to follow the rules (based on anticipatory looks), independent of the dominant status of the rule-making agent. Three-to-five-year-old pre-schoolers overall perform at the chance level but expect the protagonist to disobey a rule in the first trial, and obey the rule in the second trial if the rule-maker is dominant.

Missional Masculinities in Pentecostalism in Africa

Abstract The article argues for missional masculinities from an incarnational framework as the foundation for imitatio Christi among Pentecostal men in Africa. It suggests that since masculinities are defined by societal ideals that men are expected to embody, Pentecostal men should reclaim the divine vision of the new ‘manity’ in Christ. Here, Christ serves not only as the epitome of new humanity but also as the exemplar, setting the standard and modeling what it means to be human. Jesus is the primordial model, the definition, the determination, the illustration, and most importantly, the beginning and the end of what it means to be human. Therefore, missional masculinities, modeled after Christ, are primed to exhibit kenotic, relational, agapeic, redemptive characteristics, and are everyday prophetic performances of abundant life for humanity and creation.

VALUE-NORMATIVE DIMENSIONS OF THE ENVIRONMENTAL CRISIS IN THE CONDITIONS OF WAR

The article is devoted to the study of the ethical and value dimensions of the ecological crisis in the situation caused by war, and to the clarification of the significance of human responsibility for one’s actions in relation to nature. It is shown that the observance of moral and ethical norms and orientation to the values vital to man are a necessary condition for the preservation of human life and nature. The analysis of the tasks set in the article is carried out on the basis of the use of ideas of communicative philosophy and discursive ethics, which allows to form knowledge about the ecologically constructive relations of man with nature, to assess the scale of environmental problems in the conditions of war, and to search for ways to mitigate the consequences of the ecological crisis for man and nature.It is substantiated that the ecological crisis has value and cultural origins, therefore the awareness of the need to adhere to universal human values and the correlation of human actions in relation to nature with the norms of cultural and historical universalism becomes especially relevant. Attention is focused on the fact that in the conditions of war, barbaric expansion into the natural world, soullessness, merciless treatment of the plant and animal world, man and humanity must be guided in their actions by humanistic consciousness and moral principles, determine their actions by understanding responsibility for life. It has been established that modern man’s recognition of the importance of moral and ethical norms and humanistic values is an alternative to a lifestyle built on an unlimited, aggressive, exploitative attitude towards nature. Despite the difference between the types of culture and different cultural systems, the dominance of different value systems, people must equally ensure equal rights and bear joint responsibility for life. The most promising development strategy for humanity in a war situation should be the preservation of human life in unity with nature.

EEMD-ARIMA Model for annual precipitation forecasting to aid weather insurance decision-making research

Climate risk poses significant threats to human life and property. Climate insurance can effectively mitigate and disperse these risks. This paper addresses the weakness in weather risk prediction for climate insurance formulation by combining Ensemble Empirical Mode Decomposition (EEMD) and Autoregressive Integrated Moving Average (ARIMA) models. Four models, namely EMD, EEMD, ARIMA, and EMD-ARIMA, were established for modeling and forecasting Chinas annual precipitation data. The results show that the EEMD-ARIMA model can suppress the modal aliasing problem in time series and has the best fit compared to other models. This model can more accurately describe the variation in annual precipitation in forecasting applications, providing significant predictive value for insurance companies and government decisions regarding insurance and climate risk management.

Application of carbon nanofluids in non-concentrating solar thermal collectors: A critical review of experimental investigations

BackgroundEnergy is an indispensable part of human life. To meet the ever-increasing energy demands and mitigation of its adverse production effects, the new technological advancements and shifting towards the renewable energy resources (RERs) has become imminent. Solar energy is the most prominent among RERs, where solar thermal collectors utilizes more effective working wavelength range compared to photovoltaic cells. Nanofluids are engineered working fluids for enhancing collector performance. Synthesized carbon nanofluids usually have higher thermal conductivities than metals and metal oxides, leading to higher collector performance. MethodsThis review presents the outcomes of experimental investigations conducted with carbon based nanofluids in non-concentrating collectors and discusses its effects on thermophysical properties. FindingsFrom review, it can be inferred that the carbonaceous nanofluids improved the performance of solar collector systems. It was noted that the thermal performance and stability of nanofluid was affected by several factors such as preparation method, working temperature, concentration and dimension of nanoparticles etc. Likewise, the performance enhancements of collectors reported were mutually inconsistent and repeatability of the data was difficult to produce. There are also lack of studies on stability of nanofluids after utilization, carbon allotropes except nanotubes and graphene, and base fluids except water and glycols.

The Influence Of Medicinal Plant Literacy Through Youtube Media On Ecological Intelligence Via The PBL Model In Social Studies Subjects (Quasi-Experiment At Mts Miftahul Huda Majalengka)

Ecological intelligence will be closely related to the environment in which humans live. Nowadays, ecological intelligence is very necessary in various aspects of human life, this is because many people in human life today pay little attention to the state of the environment. The school not only creates smart students, but also tries to create students who have the character as stated in the 2013 curriculum, especially regarding students' concern for the environment. Human interaction with the environment causes a lot of damage to the environment itself. This research aims to determine the picture of medicinal plant literacy in the school environment on students' ecological intelligence in social studies subjects and to find out how much influence medicinal plant literacy in the school environment has on students' ecological intelligence in social studies subjects. This research is quasi-experimental research, using quantitative data analysis. The sample in this study was 281. The results of this research are that literacy of medicinal plants in the school environment as a learning resource can increase students' ecological intelligence in social studies subjects. Previously, the majority of students had a moderate level of ecological intelligence, but after being given treatment, there was a significant increase, especially in the level of ecological intelligence which became higher and literacy of medicinal plants in the school environment as a learning resource had a significant effect on increasing students' ecological intelligence in social studies subjects.

Research on the thermo-hydro-mechanical coupling simulation and deformation spatiotemporal evolution for the entire process of oil shale in-situ mining

The ground surface deformation (GSD) caused by oil shale in-situ mining poses a threat to land resources and human's lives and property. This study, for the first time, conducts a full stratum simulation of the Fuyu oil shale in-situ pyrolysis pilot base, analyzing the evolution characteristics of the temperature field, stress field, and deformation field of the entire stratum profile during the heating and cooling processes of convective heating mining. Considering the changes in the pore structure, thermophysical, and mechanical properties of the stratum, the environmental geological effects of rock deformation during in-situ mining were identified. Simulation results show that after heating, the temperature within 80 cm of the heating well reaches above the initial pyrolysis temperature of 350 °C for oil shale organic matter, and there is a significant stress concentration near the heat source. In the simulation, ground displacement rises in a wave-like manner during heating, quickly subsides after cooling, and finally stabilizes. Eventually, the entire stratum exhibited subsidence, with a subsidence amount of 0.59 cm. The spatiotemporal deformation trend obtained from SBAS-InSAR real-time monitoring results is similar to the simulation results. By comparing the monitoring results with the simulation results, the synergistic deformation mechanism of underground and ground surface co-deformation during in-situ mining of geochemical reactions in the study area was analyzed. The deformation rate is determined by the thermal hysteresis phenomenon and the temperature difference between the heated fluid and the rock layer. This provides scientific support for the geological effect evaluation of oil shale in-situ mining, which helps to improve mining safety and efficiency.

Facile and rapid colorimetric detection of carbaryl using nitrite-conjugated gold nanoparticles to ensure environmental and consumer safety

From the use of pesticides in agriculture, carbaryl, the main component of pesticides, has permeated the ecosystem, causing various side effects such as weakness and neurodegenerative diseases in organisms. For this reason, a convenient sensor that can be used for facile carbaryl detection is necessary. Herein, we design a facile, simple, and rapid synthesis method using nitrite receptor-conjugated gold nanoparticles (AuNPs@NO2) as a probe for colorimetric detection. This sensor provided a limit of 2 μM of carbaryl detection when observed with the naked eye, which is lower than those obtained with conventional sensors. Selective tests demonstrated that the nitrite receptor specifically interacted with carbaryl compared with other chemical compounds. Importantly, by introducing the stabilizing agent polyvinylpyrrolidone on the surface of the AuNPs@NO2, selective detection of carbaryl was also feasible in various real-world soil, crop, water, and cosmetic product samples. Recovery rates within the range of 83.33 ± 3.86–107.0 ± 3.24 % showed the operability of this sensor for diverse real samples. Using an easily synthesized colorimetric sensor, this study provides valuable insights into the simple and rapid detection of carbaryl in various areas, including ecosystems and human daily life.

Pengaruh Kualitas Produk, Persepsi Harga, Social Media Marketing, Online Customer Review Terhadap Keputusan Pembelian

The development of the internet has significantly transformed nearly all aspects of human life, especially in shopping habits. This phenomenon is reflected in the shift from conventional or offline shopping to online shopping, driven by advances in digital technology. Consequently, this has created competition between online and offline retailers in their efforts to maintain and expand their market share. Therefore, effective marketing strategies are needed to reach consumers maximally and enhance purchasing decisions. The aim of this study is to examine and analyze how product quality, price perception, social media marketing, and online customer reviews influence purchasing decisions. The consumers of Jiniso fashion products are the subjects of this study. This research is quantitative and uses purposive sampling technique. The sample consists of 100 respondents, obtained through a Google Forms questionnaire. In this research, data testing techniques include validity testing with factor analysis based on KMO and loading factor values, as well as reliability testing with Cronbach's alpha analysis. Data analysis in this study uses multiple linear regression tests, the coefficient of determination, F-test, and t-test. Data is processed using IBM SPSS 26 software. The research results indicate that product price perception, product quality, social media marketing, and online customer reviews have a positive and significant influence on purchasing decisions.

Establishment of Vietnamese human induced pluripotent stem cell-derived Orexin-A neurons

Narcolepsy type 1 is a neurological disorder that severely affects sleep control due to a decrease in orexin neurons. Although research on neurological diseases, including narcolepsy, is vital for advancing science and improving human life, progress is hindered by the challenge of obtaining human brain samples as well as the difficulty in culturing neuronal cell lines. To overcome this obstacle, we generated Orexin-A neurons from human induced pluripotent stem cells (hiPSCs) by utilising a differentiation medium supplemented with N-acetyl-D-mannosamine (ManNAc) and Bone morphogenetic protein 4 (BMP4). The cells obtained from our study were characterised using immunofluorescence staining, real-time PCR, and competitive ELISA technique. The results show that our research successfully generated a hiPSC line with pluripotent stem cell characteristics. Furthermore, Orexin-A neurons derived from hiPSCs showed positive results for NCAM1 and TUBB3 markers, an increase in HCRT gene expression, and the capacity to secrete Orexin-A. These promising findings suggest that our hiPSC-derived Orexin-A neurons could serve as a foundation for cell-based disease modelling and further investigations into the underlying mechanisms of related neurological disorders.

Urban Sprawl’s Impact on Land Use in Kenya: A Systematic Review of Literature

Urban growth is essential in bringing in new opportunities and a larger labour force, but when it is unconventional and unregulated, it tends to raise new threats and problems in the community and the environment. This urban sprawl phenomenon and its impact on land use need to be explored deeply for comprehensive planning and development. Therefore, it is important to analyse existing evidence related to urban sprawl impacts on land use. In this study, existing knowledge on the impact of urban sprawl on land use in Kenya is described through a systematic literature review. The specific objectives of the review were to assess the general characteristics of studies on urban sprawl impact on land use in Kenya, synthesise the findings of these studies, and highlight the gaps in the studies. A search was conducted on the Google Scholar engine, leading to 4317 results from which 21 articles were selected through a systematic screening process. The review established that the majority of the studies are recent, having been published in the last 10 years, have utilised the quantitative approach, and have been conducted in diverse urban centres in Kenya. The findings of the studies revealed that diminishing agricultural land is the most prominent consequence of urban sprawl. The research found that urban sprawl is taking much of the available agricultural land due to increased demand for housing and the creation of new non-farm economic activities. This phenomenon has threatened to cause food shortages, reduced agricultural exports, hence reduced foreign exchange, and lost job opportunities in the agricultural sector. Another impact of urban sprawl is the decline of conservation areas, including bare land, forests, bushlands, and wetlands. Replacement of land under natural cover with built cover has dire consequences for human life and the ecosystem, including increased cases of floods and soil erosion. The results of this study provide insights that can be used to formulate policies related to urban planning, agriculture, and conservation.